Genetic Programming Bibliography entries for Hitoshi Iba

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GP coauthors/coeditors: Daichi Ando, Palle Dahlstedt, Mats G Nordahl, Shin Ando, Erina Sakamoto, Claus de Castro Aranha, Joao Eduardo Batista, Adam Kotaro Pindur, Sara Silva, Christian Blum, Enrique Alba, Anne Auger, Jaume Bacardit, Josh C Bongard, Jurgen Branke, Nicolas Bredeche, Dimo Brockhoff, Francisco Chicano, Alan Dorin, Rene Doursat, Aniko Ekart, Tobias Friedrich, Mario Giacobini, Mark Harman, Christian Igel, Thomas Jansen, Tim Kovacs, Taras Kowaliw, Manuel Lopez-Ibanez, Jose A Lozano, Gabriel Luque, John A W McCall, Alberto Moraglio, Alison A Motsinger, Frank Neumann, Gabriela Ochoa, Gustavo Olague, Yew-Soon Ong, Michael E Palmer, Gisele L Pappa, Konstantinos E Parsopoulos, Thomas Schmickl, Stephen L Smith, Christine Solnon, Thomas Stuetzle, El-Ghazali Talbi, Daniel R Tauritz, Leonardo Vanneschi, Danushka Bollegala, Nasimul Noman, Hugo de Garis, Tatsumi Furuya, Alex S Fukunaga, Hideru Hiruma, Kazuki Komiya, Yoshihiko Hasegawa, Naohiro Hondo, Yukinori Kakazu, Tetsuya Higuchi, Taisuke Sato, Tatsuya Niwa, Takio Karita, Tishihide Nozoe, Kanji Ueda, Takashi Sasaki, Nikolay Nikolaev, Makoto Terao, Topon Kumar Paul, Ji Feng, Hossein Izadi Rad, Dirk V Arnold, Christian Gagne, Elena Popovici, Stefano Cagnoni, Kalyanmoy Deb, Benjamin Doerr, James A Foster, Tobias Glasmachers, Emma Hart, Malcolm Heywood, Christian Jacob, Yaochu Jin, Marouane Kessentini, Joshua D Knowles, William B Langdon, Pedro Larranaga, Sean Luke, Marco A Montes de Oca, Gunther R Raidl, Sebastian Risi, Guenther Ruhe, Tom Schaul, Bernhard Sendhoff, Kenneth O Stanley, Dirk Thierens, Julian Togelius, Carsten Witt, Christine Zarges, Yutaka Inoue, Takahiro Tohge, Takuya Ito, Masayuki Kimura, Satoshi Sato, Annica Ivert, Makoto Iwashita, Satish Kumar Jaiswal, Shotaro Kamio, Hongwei Liu, Hideyuki Mitsuhasi, Hideyuki Mitsuhashi, Hiroshi Kera, John Koza, Marco Dorigo, David B Fogel, Max H Garzon, Rick L Riolo, Wolfgang Banzhaf, Kumar Chellapilla, David E Goldberg, Lushen Liao, Vanio Slavov, Lilian M de Menezes, Ray Oshikawa, Kotaro Pindur, Takahiro Horiba, Hidenori Sakanashi, Hiroyuki Sato, Makoto Tanji, Badarch Tserenchimed, Shu Liu, Hiromi Wakaki, Taro Yabuki, Kosuke Yanai, Hideyuki Mita, Kohsuke Yanai, Toshihiko Yanase,

Genetic Programming Articles by Hitoshi Iba

  1. Hiroyuki Sato and Yoshihiko Hasegawa and Danushka Bollegala and Hitoshi Iba. Improved sampling using loopy belief propagation for probabilistic model building genetic programming. Swarm and Evolutionary Computation, 23:1-10, 2015. details

  2. Alex Fukunaga and Hideru Hiruma and Kazuki Komiya and Hitoshi Iba. Evolving controllers for high-level applications on a service robot: a case study with exhibition visitor flow control. Genetic Programming and Evolvable Machines, 13(2):239-263, 2012. details

  3. Topon Kumar Paul and Hitoshi Iba. Prediction of cancer class with majority voting genetic programming classifier using gene expression data. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 6(2):353-367, 2009. details

  4. Yoshihiko Hasegawa and Hitoshi Iba. Latent Variable Model for Estimation of Distribution Algorithm Based on a Probabilistic Context-Free Grammar. IEEE Transactions on Evolutionary Computation, 13(4):858-878, 2009. details

  5. Hitoshi Iba. Inference of differential equation models by genetic programming. Information Sciences, 178(23):4453-4468, 2008. Special Section: Genetic and Evolutionary Computing. details

  6. Yoshihiko Hasegawa and Hitoshi Iba. A Bayesian Network Approach to Program Generation. IEEE Transactions on Evolutionary Computation, 12(6):750-764, 2008. details

  7. Shotaro Kamio and Hitoshi Iba. Adaptation technique for integrating genetic programming and reinforcement learning for real robots. IEEE Transactions on Evolutionary Computation, 9(3):318-333, 2005. details

  8. Shin Ando and Hitoshi Iba. Classification of Gene Expression Profile Using Combinatory Method of Evolutionary Computation and Machine Learning. Genetic Programming and Evolvable Machines, 5(2):145-156, 2004. details

  9. Shotaro Kamio and Hideyuki Mitsuhashi and Hitoshi Iba. Integration of Genetic Programming and Reinforcement Learning for Real Robots. IPSJ Transactions on Mathematical Modeling and Applications, 45(2):134-143, 2004. details

  10. Nikolay Y. Nikolaev and H. Iba. Learning polynomial feedforward neural networks by genetic programming and backpropagation. IEEE Transactions on Neural Networks, 14(2):337-350, 2003. details

  11. Shin Ando and Erina Sakamoto and Hitoshi Iba. Evolutionary modeling and inference of gene network. Information Sciences, 145(3-4):237-259, 2002. details

  12. Nikolay Y. Nikolaev and Hitoshi Iba. Genetic Programming of Polynomial Harmonic Networks using the Discrete Fourier Transform. International Journal of Neural Systems, 12(5):399-410, 2002. details

  13. Nikolay Y. Nikolaev and Hitoshi Iba. Regularization Approach to Inductive Genetic Programming. IEEE Transactions on Evolutionary Computing, 54(4):359-375, 2001. details

  14. Nikolay I. Nikolaev and Hitoshi Iba. Accelerated Genetic Programming of Polynomials. Genetic Programming and Evolvable Machines, 2(3):231-257, 2001. details

  15. Kosuke Yanai and Hideyuki Mita and Hitoshi Iba. Robot learning of cooperative behavior using Genetic Programming. Technical Research Report of the Institute of Electronics, Information and Communication Engineers. AI, Artificial Intelligence and Knowledge Processing, 101(66):9-16, 2001. details

  16. Erina Sakamoto and Hitoshi Iba. Identifying Gene Regulatory Network as Differential Equation by Genetic Programming. Genome Informatics, 11:281-283, 2000. details

  17. Hitoshi Iba. Evolutionary learning of communicating agents. Information Sciences, 108(1-4):181-205, 1998. details

Genetic Programming Books by Hitoshi Iba

  1. Hitoshi Iba. Evolutionary Approach to Machine Learning and Deep Neural Networks. Springer, 2018. details

  2. Hitoshi Iba and Yoshihiko Hasegawa and Topon Kumar Paul. Applied Genetic Programming and Machine Learning. CRC, 2009. details

  3. Nikolay Nikolaev and Hitoshi Iba. Adaptive Learning of Polynomial Networks Genetic Programming, Backpropagation and Bayesian Methods. Springer, 2006. June. details

  4. Hitoshi Iba. Evolutionary Computing. Tokyo University Press, 1999. details

  5. Hitoshi Iba. Genetic Programming. Tokyo Denki University Press, 1996. details

Genetic Programming Conference proceedings edited by Hitoshi Iba

  1. Christian Igel and Dirk V. Arnold and Christian Gagne and Elena Popovici and Anne Auger and Jaume Bacardit and Dimo Brockhoff and Stefano Cagnoni and Kalyanmoy Deb and Benjamin Doerr and James Foster and Tobias Glasmachers and Emma Hart and Malcolm I. Heywood and Hitoshi Iba and Christian Jacob and Thomas Jansen and Yaochu Jin and Marouane Kessentini and Joshua D. Knowles and William B. Langdon and Pedro Larranaga and Sean Luke and Gabriel Luque and John A. W. McCall and Marco A. Montes de Oca and Alison Motsinger-Reif and Yew Soon Ong and Michael Palmer and Konstantinos E. Parsopoulos and Guenther Raidl and Sebastian Risi and Guenther Ruhe and Tom Schaul and Thomas Schmickl and Bernhard Sendhoff and Kenneth O. Stanley and Thomas Stuetzle and Dirk Thierens and Julian Togelius and Carsten Witt and Christine Zarges editors, GECCO '14: Proceedings of the 2014 conference on Genetic and evolutionary computation. Vancouver, BC, Canada, 2014. details

  2. Christian Blum and Enrique Alba and Anne Auger and Jaume Bacardit and Josh Bongard and Juergen Branke and Nicolas Bredeche and Dimo Brockhoff and Francisco Chicano and Alan Dorin and Rene Doursat and Aniko Ekart and Tobias Friedrich and Mario Giacobini and Mark Harman and Hitoshi Iba and Christian Igel and Thomas Jansen and Tim Kovacs and Taras Kowaliw and Manuel Lopez-Ibanez and Jose A. Lozano and Gabriel Luque and John McCall and Alberto Moraglio and Alison Motsinger-Reif and Frank Neumann and Gabriela Ochoa and Gustavo Olague and Yew-Soon Ong and Michael E. Palmer and Gisele Lobo Pappa and Konstantinos E. Parsopoulos and Thomas Schmickl and Stephen L. Smith and Christine Solnon and Thomas Stuetzle and El-Ghazali Talbi and Daniel Tauritz and Leonardo Vanneschi editors, GECCO '13: Proceeding of the fifteenth annual conference on Genetic and evolutionary computation conference. Amsterdam, The Netherlands, 2013. details

  3. John R. Koza and Wolfgang Banzhaf and Kumar Chellapilla and Kalyanmoy Deb and Marco Dorigo and David B. Fogel and Max H. Garzon and David E. Goldberg and Hitoshi Iba and Rick Riolo editors, Genetic Programming 1998: Proceedings of the Third Annual Conference. University of Wisconsin, Madison, WI, USA, Morgan Kaufmann, 1998. details

  4. John R. Koza and Kalyanmoy Deb and Marco Dorigo and David B. Fogel and Max Garzon and Hitoshi Iba and Rick L. Riolo editors, Genetic Programming 1997: Proceedings of the Second Annual Conference. Stanford University, CA, USA, Morgan Kaufmann, 1997. details

Genetic Programming conference papers by Hitoshi Iba

  1. Joao Eduardo Batista and Adam Kotaro Pindur and Hitoshi Iba and Sara Silva. Measuring Structural Complexity of GP Models for Feature Engineering over the Generations. In Bing Xue editor, 2024 IEEE Congress on Evolutionary Computation (CEC), Yokohama, Japan, 2024. IEEE. details

  2. Ray Oshikawa and Kotaro Pindur and Hitoshi Iba. Evolutionary Generative Adversarial Networks for Sentence Generation from Keyword. In 2022 IEEE World Conference on Applied Intelligence and Computing (AIC), pages 201-209, 2022. details

  3. Lushen Liao and Adam Kotaro Pindur and Hitoshi Iba. Genetic Programming with Random Binary Decomposition for Multi-Class Classification Problems. In Yew-Soon Ong editor, 2021 IEEE Congress on Evolutionary Computation (CEC), pages 564-571, Krakow, Poland, 2021. details

  4. Adam Kotaro Pindur and Takahiro Horiba and Hitoshi Iba. Parametric Genetic Programming. In 2020 Joint 11th International Conference on Soft Computing and Intelligent Systems and 21st International Symposium on Advanced Intelligent Systems (SCIS-ISIS), 2020. details

  5. Adam Kotaro Pindur and Hitoshi Iba. Behavioral Locality in Genetic Programming. In Juan Juli\'an Merelo Guerv\'os and Jonathan M. Garibaldi and Christian Wagner and Thomas B\"ack and Kurosh Madani and Kevin Warwick editors, Proceedings of the 12th International Joint Conference on Computational Intelligence, IJCCI 2020, Budapest, Hungary, November 2-4, 2020, pages 81-91, 2020. SCITEPRESS. details

  6. Hitoshi Iba and Ji Feng and Hossein Izadi Rad. GP-RVM: Genetic Programing-Based Symbolic Regression Using Relevance Vector Machine. In 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC), pages 255-262, 2018. details

  7. Satish Kumar Jaiswal and Hitoshi Iba. Coevolution of mapping functions for linear SVM. In Jose A. Lozano editor, 2017 IEEE Congress on Evolutionary Computation (CEC), pages 2225-2232, Donostia, San Sebastian, Spain, 2017. IEEE. details

  8. Hiroshi Kera and Hitoshi Iba. Vanishing Ideal Genetic Programming. In Yew-Soon Ong editor, Proceedings of 2016 IEEE Congress on Evolutionary Computation (CEC 2016), pages 5018-5025, Vancouver, 2016. IEEE Press. details

  9. Annica Ivert and Claus Aranha and Hitoshi Iba. Feature Selection and Classification Using Ensembles of Genetic Programs and Within-class and Between-class Permutations. In Yadahiko Murata editor, Proceedings of 2015 IEEE Congress on Evolutionary Computation (CEC 2015), pages 1121-1128, Sendai, Japan, 2015. IEEE Press. details

  10. Hiroyuki Sato and Danushka Bollegala and Yoshihiko Hasegawa and Hitoshi Iba. Learning Non-linear Ranking Functions for Web Search using Probabilistic Model Building GP. In Luis Gerardo de la Fraga editor, 2013 IEEE Conference on Evolutionary Computation, volume 1, pages 3371-3378, Cancun, Mexico, 2013. details

  11. Hiroyuki Sato and Yoshihiko Hasegawa and Danushka Bollegala and Hitoshi Iba. Probabilistic Model Building GP with Belief Propagation. In Xiaodong Li editor, Proceedings of the 2012 IEEE Congress on Evolutionary Computation, pages 2089-2096, Brisbane, Australia, 2012. details

  12. Badarch Tserenchimed and Shu Liu and Hitoshi Iba. A trading method in FX using evolutionary algorithms: extensions based on reverse trend and settlement timing. In Natalio Krasnogor and Pier Luca Lanzi and Andries Engelbrecht and David Pelta and Carlos Gershenson and Giovanni Squillero and Alex Freitas and Marylyn Ritchie and Mike Preuss and Christian Gagne and Yew Soon Ong and Guenther Raidl and Marcus Gallager and Jose Lozano and Carlos Coello-Coello and Dario Landa Silva and Nikolaus Hansen and Silja Meyer-Nieberg and Jim Smith and Gus Eiben and Ester Bernado-Mansilla and Will Browne and Lee Spector and Tina Yu and Jeff Clune and Greg Hornby and Man-Leung Wong and Pierre Collet and Steve Gustafson and Jean-Paul Watson and Moshe Sipper and Simon Poulding and Gabriela Ochoa and Marc Schoenauer and Carsten Witt and Anne Auger editors, GECCO '11: Proceedings of the 13th annual conference companion on Genetic and evolutionary computation, pages 139-140, Dublin, Ireland, 2011. ACM. details

  13. Hideru Hiruma and Alex Fukunaga and Kazuki Komiya and Hitoshi Iba. Evolving an Effective Robot Tour Guide. In Alice E. Smith editor, Proceedings of the 2011 IEEE Congress on Evolutionary Computation, pages 137-144, New Orleans, USA, 2011. IEEE Press. details

  14. Danushka Bollegala and Nasimul Noman and Hitoshi Iba. RankDE: learning a ranking function for information retrieval using differential evolution. In Natalio Krasnogor and Pier Luca Lanzi and Andries Engelbrecht and David Pelta and Carlos Gershenson and Giovanni Squillero and Alex Freitas and Marylyn Ritchie and Mike Preuss and Christian Gagne and Yew Soon Ong and Guenther Raidl and Marcus Gallager and Jose Lozano and Carlos Coello-Coello and Dario Landa Silva and Nikolaus Hansen and Silja Meyer-Nieberg and Jim Smith and Gus Eiben and Ester Bernado-Mansilla and Will Browne and Lee Spector and Tina Yu and Jeff Clune and Greg Hornby and Man-Leung Wong and Pierre Collet and Steve Gustafson and Jean-Paul Watson and Moshe Sipper and Simon Poulding and Gabriela Ochoa and Marc Schoenauer and Carsten Witt and Anne Auger editors, GECCO '11: Proceedings of the 13th annual conference on Genetic and evolutionary computation, pages 1771-1778, Dublin, Ireland, 2011. ACM. details

  15. Makoto Tanji and Hitoshi Iba. ConBreO: a music performance rendering system using hybrid approach of IEC and automated evolution. In Juergen Branke and Martin Pelikan and Enrique Alba and Dirk V. Arnold and Josh Bongard and Anthony Brabazon and Juergen Branke and Martin V. Butz and Jeff Clune and Myra Cohen and Kalyanmoy Deb and Andries P Engelbrecht and Natalio Krasnogor and Julian F. Miller and Michael O'Neill and Kumara Sastry and Dirk Thierens and Jano van Hemert and Leonardo Vanneschi and Carsten Witt editors, GECCO '10: Proceedings of the 12th annual conference on Genetic and evolutionary computation, pages 1275-1282, Portland, Oregon, USA, 2010. ACM. details

  16. Toshihiko Yanase and Yoshihiko Hasegawa and Hitoshi Iba. Binary encoding for prototype tree of probabilistic model building GP. In Guenther Raidl and Franz Rothlauf and Giovanni Squillero and Rolf Drechsler and Thomas Stuetzle and Mauro Birattari and Clare Bates Congdon and Martin Middendorf and Christian Blum and Carlos Cotta and Peter Bosman and Joern Grahl and Joshua Knowles and David Corne and Hans-Georg Beyer and Ken Stanley and Julian F. Miller and Jano van Hemert and Tom Lenaerts and Marc Ebner and Jaume Bacardit and Michael O'Neill and Massimiliano Di Penta and Benjamin Doerr and Thomas Jansen and Riccardo Poli and Enrique Alba editors, GECCO '09: Proceedings of the 11th Annual conference on Genetic and evolutionary computation, pages 1147-1154, Montreal, 2009. ACM. details

  17. Makoto Tanji and Hitoshi Iba. Program optimization by random tree sampling. In Guenther Raidl and Franz Rothlauf and Giovanni Squillero and Rolf Drechsler and Thomas Stuetzle and Mauro Birattari and Clare Bates Congdon and Martin Middendorf and Christian Blum and Carlos Cotta and Peter Bosman and Joern Grahl and Joshua Knowles and David Corne and Hans-Georg Beyer and Ken Stanley and Julian F. Miller and Jano van Hemert and Tom Lenaerts and Marc Ebner and Jaume Bacardit and Michael O'Neill and Massimiliano Di Penta and Benjamin Doerr and Thomas Jansen and Riccardo Poli and Enrique Alba editors, GECCO '09: Proceedings of the 11th Annual conference on Genetic and evolutionary computation, pages 1131-1138, Montreal, 2009. ACM. details

  18. Daichi Ando and Palle Dahlsted and Mats Nordahl and Hitoshi Iba. Interactive GP with Tree Representation of Classical Music Pieces. In Mario Giacobini and Anthony Brabazon and Stefano Cagnoni and Gianni A. Di Caro and Rolf Drechsler and Muddassar Farooq and Andreas Fink and Evelyne Lutton and Penousal Machado and Stefan Minner and Michael O'Neill and Juan Romero and Franz Rothlauf and Giovanni Squillero and Hideyuki Takagi and A. Sima Uyar and Shengxiang Yang editors, Applications of Evolutionary Computing, EvoWorkshops2007: EvoCOMNET, EvoFIN, EvoIASP, EvoInteraction, EvoMUSART, EvoSTOC, EvoTransLog, volume 4448, pages 577-584, Valencia, Spain, 2007. Springer Verlag. details

  19. Yoshihiko Hasegawa and Hitoshi Iba. Estimation of Distribution Algorithm Based on Probabilistic Grammar with Latent Annotations. In Dipti Srinivasan and Lipo Wang editors, 2007 IEEE Congress on Evolutionary Computation, pages 1043-1050, Singapore, 2007. IEEE Press. details

  20. Daichi Ando and Hitoshi Iba. Interactive Composition Aid System by Means of Tree Representation of Musical Phrase. In Dipti Srinivasan and Lipo Wang editors, 2007 IEEE Congress on Evolutionary Computation, pages 4258-4265, Singapore, 2007. IEEE Press. details

  21. Topon Kumar Paul and Hitoshi Iba. Classification of scleroderma and normal biopsy data and identification of possible biomarkers of the disease. In Proceedings of IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology 2006 (CIBCB2006), pages 306-311, Toronto, Ontario, Canada, 2006. IEEE Press. details

  22. Topon Kumar Paul and Yoshihiko Hasegawa and Hitoshi Iba. Classification of Gene Expression Data by Majority Voting Genetic Programming Classifier. In Gary G. Yen and Simon M. Lucas and Gary Fogel and Graham Kendall and Ralf Salomon and Byoung-Tak Zhang and Carlos A. Coello Coello and Thomas Philip Runarsson editors, Proceedings of the 2006 IEEE Congress on Evolutionary Computation, pages 2521-2528, Vancouver, BC, Canada, 2006. IEEE Press. details

  23. Yoshihiko Hasegawa and Hitoshi Iba. Optimizing Programs with Estimation of Bayesian Network. In Gary G. Yen and Lipo Wang and Piero Bonissone and Simon M. Lucas editors, Proceedings of the 2006 IEEE Congress on Evolutionary Computation, pages 5527-5534, Vancouver, 2006. IEEE Press. details

  24. Yoshihiko Hasegawa and Hitoshi Iba. Estimation of Bayesian network for program generation. In The Long Pham and Hai Khoi Le and Xuan Hoai Nguyen editors, Proceedings of the Third Asian-Pacific workshop on Genetic Programming, pages 35-46, Military Technical Academy, Hanoi, VietNam, 2006. details

  25. Claus Aranha and Hitoshi Iba. The effect of using evolutionary algorithms on ant clustering techniques. In The Long Pham and Hai Khoi Le and Xuan Hoai Nguyen editors, Proceedings of the Third Asian-Pacific workshop on Genetic Programming, pages 24-34, Military Technical Academy, Hanoi, VietNam, 2006. details

  26. Kohsuke Yanai and Hitoshi Iba. Probabilistic distribution models for EDA-based GP. In Hans-Georg Beyer and Una-May O'Reilly and Dirk V. Arnold and Wolfgang Banzhaf and Christian Blum and Eric W. Bonabeau and Erick Cantu-Paz and Dipankar Dasgupta and Kalyanmoy Deb and James A. Foster and Edwin D. de Jong and Hod Lipson and Xavier Llora and Spiros Mancoridis and Martin Pelikan and Guenther R. Raidl and Terence Soule and Andy M. Tyrrell and Jean-Paul Watson and Eckart Zitzler editors, GECCO 2005: Proceedings of the 2005 conference on Genetic and evolutionary computation, volume 2, pages 1775-1776, Washington DC, USA, 2005. ACM Press. details

  27. Kohsuke Yanai and Hitoshi Iba. Program Evolution by Integrating EDP and GP. In Kalyanmoy Deb and Riccardo Poli and Wolfgang Banzhaf and Hans-Georg Beyer and Edmund Burke and Paul Darwen and Dipankar Dasgupta and Dario Floreano and James Foster and Mark Harman and Owen Holland and Pier Luca Lanzi and Lee Spector and Andrea Tettamanzi and Dirk Thierens and Andy Tyrrell editors, Genetic and Evolutionary Computation -- GECCO-2004, Part I, volume 3102, pages 774-785, Seattle, WA, USA, 2004. Springer-Verlag. details

  28. Hongwei Liu and Hitoshi Iba. Humanoid Robot Programming Based on CBR Augmented GP. In Kalyanmoy Deb and Riccardo Poli and Wolfgang Banzhaf and Hans-Georg Beyer and Edmund Burke and Paul Darwen and Dipankar Dasgupta and Dario Floreano and James Foster and Mark Harman and Owen Holland and Pier Luca Lanzi and Lee Spector and Andrea Tettamanzi and Dirk Thierens and Andy Tyrrell editors, Genetic and Evolutionary Computation -- GECCO-2004, Part II, volume 3103, pages 708-709, Seattle, WA, USA, 2004. Springer-Verlag. details

  29. Hongwei Liu and Hitoshi Iba. A Hierarchical Approach for Adaptive Humanoid Robot Control. In Proceedings of the 2004 IEEE Congress on Evolutionary Computation, pages 1546-1553, Portland, Oregon, 2004. IEEE Press. details

  30. Shotaro Kamio and Hitoshi Iba. Evolutionary Construction of a Simulator for Real Robots. In Proceedings of the 2004 IEEE Congress on Evolutionary Computation, pages 2202-2209, Portland, Oregon, 2004. IEEE Press. details

  31. Yoshihiko Hasegawa and Hitoshi Iba. Multimodal Search with Immune Based Genetic Programming. In Artificial Immune Systems, 2004. Springer. details

  32. Kohsuke Yanai and Hitoshi Iba. Probabilistic Model-Building Genetic Programming based on Dependency Relationship. In R I Mckay and Sung-Bae Cho editors, Proceedings of The Second Asian-Pacific Workshop on Genetic Programming, Cairns, Australia, 2004. details

  33. Hongwei Liu and Hitoshi Iba. An Evolution-Adapation Approach of Genetic Programming for Programming Humanoid Robot. In R I Mckay and Sung-Bae Cho editors, Proceedings of The Second Asian-Pacific Workshop on Genetic Programming, Cairns, Australia, 2004. details

  34. Taro Yabuki and Hitoshi Iba. Turing-complete Data Structure for Genetic Programming. In IEEE International Conference on Systems, Man and Cybernetics, volume 4, pages 3577-3582, Washington, D.C., USA, 2003. IEEE Press. details

  35. Hiromi Wakaki and Hitoshi Iba. AVICE: Evolving Avatar's Movernent. In E. Cant\'u-Paz and J. A. Foster and K. Deb and D. Davis and R. Roy and U.-M. O'Reilly and H.-G. Beyer and R. Standish and G. Kendall and S. Wilson and M. Harman and J. Wegener and D. Dasgupta and M. A. Potter and A. C. Schultz and K. Dowsland and N. Jonoska and J. Miller editors, Genetic and Evolutionary Computation -- GECCO-2003, volume 2724, pages 1816-1817, Chicago, 2003. Springer-Verlag. details

  36. Hongwei Liu and Hitoshi Iba. Multi-agent Learning of Heterogeneous Robots by Evolutionary Subsumption. In E. Cant\'u-Paz and J. A. Foster and K. Deb and D. Davis and R. Roy and U.-M. O'Reilly and H.-G. Beyer and R. Standish and G. Kendall and S. Wilson and M. Harman and J. Wegener and D. Dasgupta and M. A. Potter and A. C. Schultz and K. Dowsland and N. Jonoska and J. Miller editors, Genetic and Evolutionary Computation -- GECCO-2003, volume 2724, pages 1715-1728, Chicago, 2003. Springer-Verlag. details

  37. Shotaro Kamio and Hideyuki Mitsuhashi and Hitoshi Iba. Integration of Genetic Programming and Reinforcement Learning for Real Robots. In E. Cant\'u-Paz and J. A. Foster and K. Deb and D. Davis and R. Roy and U.-M. O'Reilly and H.-G. Beyer and R. Standish and G. Kendall and S. Wilson and M. Harman and J. Wegener and D. Dasgupta and M. A. Potter and A. C. Schultz and K. Dowsland and N. Jonoska and J. Miller editors, Genetic and Evolutionary Computation -- GECCO-2003, volume 2723, pages 470-482, Chicago, 2003. Springer-Verlag. details

  38. Y. Inoue and T. Tohge and H. Iba. Cooperative Transportation by Humanoid Robots: Learning to Correct Positioning. In Ajith Abraham and Mario K\"oppen and Katrin Franke editors, Design and Application of Hybrid Intelligent Systems, pages 1124-1134, Melbourne, 2003. IOS Press Amsterdam, Berlin, Oxford, Tokyo, Washington D.C.. details

  39. Kohsuke Yanai and Hitoshi Iba. Program Evolution Using Bayesian Network. In Sung-Bae Cho and Nguyen Xuan Hoai and Yin Shan editors, Proceedings of The First Asian-Pacific Workshop on Genetic Programming, pages 16-23, Rydges (lakeside) Hotel, Canberra, Australia, 2003. details

  40. Kohsuke Yanai and Hitoshi Iba. Estimation of Distribution Programming Based on Bayesian Network. In Ruhul Sarker and Robert Reynolds and Hussein Abbass and Kay Chen Tan and Bob McKay and Daryl Essam and Tom Gedeon editors, Proceedings of the 2003 Congress on Evolutionary Computation CEC2003, pages 1618-1625, Canberra, 2003. IEEE Press. details

  41. Shotaro Kamio and Hongwei Liu and Hideyuki Mitsuhasi and Hitoshi Iba. Researches on Ingeniously Behaving Agents. In Jason Lohn and Ricardo Zebulum and James Steincamp and Didier Keymeulen and Adrian Stoica and Michael I. Ferguson editors, 2003 NASA/DoD Conference on Evolvable Hardware, pages 208-220, Chicago, Illinois, 2003. IEEE Computer Society. details

  42. Shotaro Kamio and Hitoshi Iba. Real-time adaptation technique to real robots: An experiment with a humanoid robot. In Ruhul Sarker and Robert Reynolds and Hussein Abbass and Kay Chen Tan and Bob McKay and Daryl Essam and Tom Gedeon editors, Proceedings of the 2003 Congress on Evolutionary Computation CEC2003, pages 506-513, Canberra, 2003. IEEE Press. details

  43. Nikolay Nikolaev and Lilian M. de Menezes and Hitoshi Iba. Overfitting Avoidance in Genetic Programming of Polynomials. In David B. Fogel and Mohamed A. El-Sharkawi and Xin Yao and Garry Greenwood and Hitoshi Iba and Paul Marrow and Mark Shackleton editors, Proceedings of the 2002 Congress on Evolutionary Computation CEC2002, pages 1209-1214, 2002. IEEE Press. details

  44. Shotaro Kamio and Hitoshi Iba. A Co-evolutionary Approach to Parallel Distributed Genetic Programming. In Proceedings of the 4th International Workshop on Emergent Synthesis - IWES'02, pages 23-28, Kobe University, Japan, 2002. details

  45. Makoto Iwashita and Hitoshi Iba. Island Model GP with Immigrants Aging and Depth-Dependent Crossover. In David B. Fogel and Mohamed A. El-Sharkawi and Xin Yao and Garry Greenwood and Hitoshi Iba and Paul Marrow and Mark Shackleton editors, Proceedings of the 2002 Congress on Evolutionary Computation CEC2002, pages 267-272, 2002. IEEE Press. details

  46. Hitoshi Iba and Erina Sakamoto. Inference Of Differential Equation Models By Genetic Programming. In W. B. Langdon and E. Cant\'u-Paz and K. Mathias and R. Roy and D. Davis and R. Poli and K. Balakrishnan and V. Honavar and G. Rudolph and J. Wegener and L. Bull and M. A. Potter and A. C. Schultz and J. F. Miller and E. Burke and N. Jonoska editors, GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference, pages 788-795, New York, 2002. Morgan Kaufmann Publishers. details

  47. Shin Ando and Hitoshi Iba and Erina Sakamoto. Modeling Genetic Network by Hybrid GP. In David B. Fogel and Mohamed A. El-Sharkawi and Xin Yao and Garry Greenwood and Hitoshi Iba and Paul Marrow and Mark Shackleton editors, Proceedings of the 2002 Congress on Evolutionary Computation CEC2002, pages 291-296, 2002. IEEE Press. details

  48. Erina Sakamoto and Hitoshi Iba. Inferring a System of Differential Equations for a Gene Regulatory Network by using Genetic Programming. In Proceedings of the 2001 Congress on Evolutionary Computation CEC2001, pages 720-726, COEX, World Trade Center, 159 Samseong-dong, Gangnam-gu, Seoul, Korea, 2001. IEEE Press. details

  49. Nikolay Nikolaev and Hitoshi Iba. Genetic Programming using Chebishev Polynomials. In Lee Spector and Erik D. Goodman and Annie Wu and W. B. Langdon and Hans-Michael Voigt and Mitsuo Gen and Sandip Sen and Marco Dorigo and Shahram Pezeshk and Max H. Garzon and Edmund Burke editors, Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2001), pages 89-96, San Francisco, California, USA, 2001. Morgan Kaufmann. details

  50. Nikolay Nikolaev and Hitoshi Iba. Genetic Programming of Polynomial Harmonic Models using the Discrete Fourier Transform. In Proceedings of the 2001 Congress on Evolutionary Computation CEC2001, pages 267-274, COEX, World Trade Center, 159 Samseong-dong, Gangnam-gu, Seoul, Korea, 2001. IEEE Press. details

  51. Hitoshi Iba and Makoto Terao. Controlling Effective Introns for Multi-Agent Learning by Means of Genetic Programming. In Soft Computing Agents, 2001. Springer. details

  52. Kohsuke Yanai and Hitoshi Iba. Multi-agent Robot Learning by Means of Genetic Programming : Solving an Escape Problem. In Yong Liu and Kiyoshi Tanaka and Masaya Iwata and Tetsuya Higuchi and Moritoshi Yasunaga editors, Evolvable Systems: From Biology to Hardware: 4th International Conference, ICES 2001, volume 2210, pages 192-203, Tokyo, Japan, 2001. Springer-Verlag. details

  53. Hitoshi Iba and Nikolay Nikolaev. Genetic Programming Polynomial Models of Financial Data Series. In Proceedings of the 2000 Congress on Evolutionary Computation CEC00, volume 2, pages 1459-1466, La Jolla Marriott Hotel, La Jolla, California, USA, 2000. IEEE Press. details

  54. Hitoshi Iba and Nikolay Nikolaev. Financial data prediction by means of genetic programming. In Computing in Economics and Finance, Universitat Pompeu Fabra, Barcelona, Spain, 2000. details

  55. Hitoshi Iba and Makoto Terao. Controlling Effective Introns for Multi-Agent Learning by Genetic Programming. In Darrell Whitley and David Goldberg and Erick Cantu-Paz and Lee Spector and Ian Parmee and Hans-Georg Beyer editors, Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2000), pages 419-426, Las Vegas, Nevada, USA, 2000. Morgan Kaufmann. details

  56. Hitoshi Iba and Takashi Sasaki. Using Genetic Programming to Predict Financial Data. In Peter J. Angeline and Zbyszek Michalewicz and Marc Schoenauer and Xin Yao and Ali Zalzala editors, Proceedings of the Congress on Evolutionary Computation, volume 1, pages 244-251, Mayflower Hotel, Washington D.C., USA, 1999. IEEE Press. details

  57. Hitoshi Iba. Bagging, Boosting, and Bloating in Genetic Programming. In Wolfgang Banzhaf and Jason Daida and Agoston E. Eiben and Max H. Garzon and Vasant Honavar and Mark Jakiela and Robert E. Smith editors, Proceedings of the Genetic and Evolutionary Computation Conference, volume 2, pages 1053-1060, Orlando, Florida, USA, 1999. Morgan Kaufmann. details

  58. Nikolay Nikolaev and Hitoshi Iba. Automated Discovery of Polynomials by Inductive Genetic Programming. In Jan M. Zytkow and Jan Rauch editors, Proceedings of the 3rd European Conference on Principles of Data Mining and Knowledge Discovery (PKDD-99), volume 1704, pages 456-461, Prague, Czech Republic, 1999. Springer. details

  59. Takuya Ito and Hitoshi Iba and Satoshi Sato. Non-Destructive Depth-Dependent Crossover for Genetic Programming. In Wolfgang Banzhaf and Riccardo Poli and Marc Schoenauer and Terence C. Fogarty editors, Proceedings of the First European Workshop on Genetic Programming, volume 1391, pages 71-82, Paris, 1998. Springer-Verlag. details

  60. Takuya Ito and Hitoshi Iba and Satoshi Sato. Depth-Dependent Crossover for Genetic Programming. In Proceedings of the 1998 IEEE World Congress on Computational Intelligence, pages 775-780, Anchorage, Alaska, USA, 1998. IEEE Press. details

  61. Hitoshi Iba. Multi-Agent Reinforcement Learning with Genetic Programming. In John R. Koza and Wolfgang Banzhaf and Kumar Chellapilla and Kalyanmoy Deb and Marco Dorigo and David B. Fogel and Max H. Garzon and David E. Goldberg and Hitoshi Iba and Rick Riolo editors, Genetic Programming 1998: Proceedings of the Third Annual Conference, pages 167-172, University of Wisconsin, Madison, Wisconsin, USA, 1998. Morgan Kaufmann. details

  62. Hitoshi Iba. Multiple-Agent Learning for a Robot Navigation Task by Genetic Programming. In John R. Koza and Kalyanmoy Deb and Marco Dorigo and David B. Fogel and Max Garzon and Hitoshi Iba and Rick L. Riolo editors, Genetic Programming 1997: Proceedings of the Second Annual Conference, pages 195-200, Stanford University, CA, USA, 1997. Morgan Kaufmann. details

  63. Hitoshi Iba and Tishihide Nozoe and Kanji Ueda. Evolving Communicating Agents based on Genetic Programming. In Proceedings of the 1997 IEEE International Conference on Evolutionary Computation, pages 297-302, Indianapolis, IN, USA, 1997. IEEE Press. details

  64. Hidenori Sakanashi and Tetsuya Higuchi and Hitoshi Iba and Yukinori Kakazu. Evolution of binary decision diagrams for digital circuit design using genetic programming. In Tetsuya Higuchi and Masaya Iwata and Weixin Liu editors, International Conference on Evolvable Systems, volume 1259, pages 470-481, Tsukuba, Japan, 1996. Springer. details

  65. Tatsuya Niwa and Hitoshi Iba. Distributed Genetic Programming: Empirical Study and Analysis. In John R. Koza and David E. Goldberg and David B. Fogel and Rick L. Riolo editors, Genetic Programming 1996: Proceedings of the First Annual Conference, pages 339-344, Stanford University, CA, USA, 1996. MIT Press. details

  66. Takuya Ito and Hitoshi Iba and Masayuki Kimura. Robustness of Robot Programs Generated by Genetic Programming. In John R. Koza and David E. Goldberg and David B. Fogel and Rick L. Riolo editors, Genetic Programming 1996: Proceedings of the First Annual Conference, Stanford University, CA, USA, 1996. MIT Press. 321--326. details

  67. Hitoshi Iba. Random Tree Generation for Genetic Programming. In Hans-Michael Voigt and Werner Ebeling and Ingo Rechenberg and Hans-Paul Schwefel editors, Parallel Problem Solving from Nature IV, Proceedings of the International Conference on Evolutionary Computation, volume 1141, pages 144-153, Berlin, Germany, 1996. Springer Verlag. details

  68. Hitoshi Iba. Random Tree Generation for Genetic Programming. In John R. Koza editor, Late Breaking Papers at the Genetic Programming 1996 Conference Stanford University July 28-31, 1996, pages 75-82, Stanford University, CA, USA, 1996. Stanford Bookstore. details

  69. Hitoshi Iba. Emergent Cooperation for Multiple Agents Using Genetic Programming. In Hans-Michael Voigt and Werner Ebeling and Ingo Rechenberg and Hans-Paul Schwefel editors, Parallel Problem Solving from Nature IV, Proceedings of the International Conference on Evolutionary Computation, volume 1141, pages 32-41, Berlin, Germany, 1996. Springer Verlag. details

  70. Hitoshi Iba. Emergent Cooperation for Multiple Agents using Genetic Programming. In John R. Koza editor, Late Breaking Papers at the Genetic Programming 1996 Conference Stanford University July 28-31, 1996, pages 66-74, Stanford University, CA, USA, 1996. Stanford Bookstore. details

  71. Naohiro Hondo and Hitoshi Iba and Yukinori Kakazu. Sharing and Refinement for Reusable Subroutines of Genetic Programming. In Proceedings of the 1996 IEEE International Conference on Evolutionary Computation, volume 1, pages 565-570, Nagoya, Japan, 1996. details

  72. Naohiro Hondo and Hitoshi Iba and Yukinori Kakazu. Robust GP in Robot Learning. In Hans-Michael Voigt and Werner Ebeling and Ingo Rechenberg and Hans-Paul Schwefel editors, Parallel Problem Solving from Nature IV, Proceedings of the International Conference on Evolutionary Computation, volume 1141, pages 751-760, Berlin, Germany, 1996. Springer Verlag. details

  73. Naohiro Hondo and Hitoshi Iba and Yukinori Kakazu. COAST: An Approach to Robustness and Reusability in Genetic Programming. In John R. Koza and David E. Goldberg and David B. Fogel and Rick L. Riolo editors, Genetic Programming 1996: Proceedings of the First Annual Conference, page 429, Stanford University, CA, USA, 1996. MIT Press. details

  74. Hitoshi Iba and Taisuke Sato and Hugo de Garis. Numerical Genetic Programming for System Identification. In Justinian P. Rosca editor, Proceedings of the Workshop on Genetic Programming: From Theory to Real-World Applications, pages 64-75, Tahoe City, California, USA, 1995. details

  75. Hitoshi Iba and Taisuke Sato and Hugo de Garis. Recombination Guidance for Numerical Genetic Programming. In 1995 IEEE Conference on Evolutionary Computation, volume 1, pages 97-102, Perth, Australia, 1995. IEEE Press. details

  76. Hitoshi Iba and Hugo de Garis and Taisuke Sato. Temporal Data Processing Using Genetic Programming. In Larry J. Eshelman editor, Genetic Algorithms: Proceedings of the Sixth International Conference (ICGA95), pages 279-286, Pittsburgh, PA, USA, 1995. Morgan Kaufmann. details

  77. Hitoshi Iba and Hugo de Garis and Taisuke Sato. Genetic Programming with Local Hill-Climbing. In Yuval Davidor and Hans-Paul Schwefel and Reinhard M\"anner editors, Parallel Problem Solving from Nature III, volume 866, pages 334-343, Jerusalem, 1994. Springer-Verlag. details

  78. Hitoshi Iba and Taisuke Sato and Hugo de Garis. System identification approach to genetic programming. In Proceedings of the 1994 IEEE World Congress on Computational Intelligence, volume 1, pages 401-406, Orlando, Florida, USA, 1994. IEEE Press. details

  79. Hitoshi Iba and Takio Karita and Hugo de Garis and Taisuke Sato. System Identification Using Structured Genetic Algorithms. In Stephanie Forrest editor, Proceedings of the 5th International Conference on Genetic Algorithms, ICGA-93, pages 279-286, University of Illinois at Urbana-Champaign, 1993. Morgan Kaufmann. details

  80. Hitoshi Iba and Hugo de Garis and Tetsuya Higuchi. Evolutionary learning of predatory behaviors based on structured classifiers. In Jean-Arcady Meyer and Herbert L. Roitblat and Stewart W. Wilson editors, From Animals to Animats 2: Proceedings of the Second International Conference on Simulation of Adaptive Behavior, pages 356-363, 1993. MIT Press. details

  81. Hugo de Garis and Hitoshi Iba and Tatsumi Furuya. Differentiable Chromosomes: The Genetic Programming of switchable Shape-Genes. In R Manner and B Manderick editors, Parallel Problem Solving from Nature 2, pages 489-498, Brussels, Belgium, 1992. Elsevier Science. details

  82. Hitoshi Iba and Taisuke Sato. Meta-level strategy learning for GA based on structured representation. In Jin-Hyung Kim editor, Proceedings of the Second Pacific Rim International Conference on Artificial Intelligence, pages 548-554, Seoul, Korea, 1992. details

Genetic Programming book chapters by Hitoshi Iba

  1. Hitoshi Iba and Claus Aranha. Composition of Music and Financial Strategies via Genetic Programming. In Rick Riolo and Trent McConaghy and Ekaterina Vladislavleva editors, Genetic Programming Theory and Practice VIII, volume 8 of Genetic and Evolutionary Computation, chapter 13, pages 211-226. Springer, Ann Arbor, USA, 2010. details

  2. Hitoshi Iba. Hybrid Genetic Programming and GMDH System: STROGANOFF. In Godfrey C. Onwubolu editor, Hybrid Self-Organizing Modeling Systems, volume 211 of Studies in Computational Intelligence, pages 27-98. Springer, 2009. details

  3. Topon Kumar Paul and Hitoshi Iba. Genetic programming for classifying cancer data and controlling humanoid robots. In Rick L. Riolo and Terence Soule and Bill Worzel editors, Genetic Programming Theory and Practice IV, volume 5 of Genetic and Evolutionary Computation, pages 41-59. Springer, Ann Arbor, 2006. details

  4. Taro Yabuki and Hitoshi Iba. Genetic programming using a Turing complete representation: recurrent network consisting of trees. In Leandro N. de Castro and Fernando J. Von Zuben editors, Recent Developments in Biologically Inspired Computing, chapter 4, pages 61-81. Idea Group Publishing, 2004. details

  5. Yutaka Inoue and Takahiro Tohge and Hitoshi Iba. Learning for Cooperative Transportation by Autonomous Humanoid Robots. In Nadia Nedjah and Luiza de Macedo Mourelle editors, Evolvable Machines: Theory \& Practice, volume 161 of Studies in Fuzziness and Soft Computing, chapter 1, pages 3-20. Springer, Berlin, 2004. details

  6. Nikolay Y. Nikolaev and Hitoshi Iba. Genetic Programming of Polynomial Models for Financial Forecasting. In Shu-Heng Chen editor, Genetic Algorithms and Genetic Programming in Computational Finance, chapter 5, pages 103-123. Kluwer Academic Press, 2002. details

  7. Nikolay I. Nikolaev and Hitoshi Iba and Vanio Slavov. Inductive Genetic Programming with Immune Network Dynamics. In Lee Spector and William B. Langdon and Una-May O'Reilly and Peter J. Angeline editors, Advances in Genetic Programming 3, chapter 15, pages 355-376. MIT Press, Cambridge, MA, USA, 1999. details

  8. Takuya Ito and Hitoshi Iba and Satoshi Sato. A Self-Tuning Mechanism for Depth-Dependent Crossover. In Lee Spector and William B. Langdon and Una-May O'Reilly and Peter J. Angeline editors, Advances in Genetic Programming 3, chapter 16, pages 377-399. MIT Press, Cambridge, MA, USA, 1999. details

  9. Hitoshi Iba. Evolving Multiple Agents by Genetic Programming. In Lee Spector and William B. Langdon and Una-May O'Reilly and Peter J. Angeline editors, Advances in Genetic Programming 3, chapter 19, pages 447-466. MIT Press, Cambridge, MA, USA, 1999. details

  10. Hitoshi Iba. System identification using structured genetic algorithms. In Thomas Baeck and David B. Fogel and Zbigniew Michalewicz editors, Handbook of Evolutionary Computation, chapter section G1.4. Oxford University Press, 1997. details

  11. Hitoshi Iba. Identification. In Thomas Baeck and David B. Fogel and Zbigniew Michalewicz editors, Handbook of Evolutionary Computation, chapter section F1.4. Oxford University Press, 1997. details

  12. Hitoshi Iba. Complexity-based fitness evaluation. In Thomas Baeck and David B. Fogel and Zbigniew Michalewicz editors, Handbook of Evolutionary Computation, chapter section C4.4. Oxford University Press, 1997. details

  13. Hitoshi Iba and Hugo de Garis. Extending Genetic Programming with Recombinative Guidance. In Peter J. Angeline and K. E. Kinnear, Jr. editors, Advances in Genetic Programming 2, chapter 4, pages 69-88. MIT Press, Cambridge, MA, USA, 1996. details

  14. Hitoshi Iba and Hugo de Garis and Taisuke Sato. Genetic Programming Using a Minimum Description Length Principle. In Kenneth E. Kinnear, Jr. editor, Advances in Genetic Programming, chapter 12, pages 265-284. MIT Press, 1994. details

Genetic Programming technical reports by Hitoshi Iba

  1. Hitoshi Iba. Random Tree Generation for Genetic Programming. Technical report, ETL-TR-95-35, ElectroTechnical Laboratory (ETL), 1-1-4 Umezono, Tsukuba-city, Ibaraki, 305, Japan, 1995. details

  2. Hitoshi Iba and Taisuke Sato. Genetic Programming with Local Hill-Climbing. Technical report, ETL-TR-94-4, Electrotechnical Laboratory, 1-1-4 Umezono, Tsukuba-city, Ibaraki, 305, Japan, 1994. details

  3. Hitoshi Iba and Tatsuya Niwa and Taisuke Sato. Evolutionary Learning of Boolean Concepts: An empirical Study. Technical report, ETL-TR-93-25, Electrotechnical Laboratory, 1-1-4 Umezono, Tsukuba-city, Ibaraki, 305, Japan, 1993. details

  4. Hitoshi Iba and Hugo de Garis and Taisuke Sato. Solving identification problems by structured genetic algorithms. Technical report , ETL-TR-93-17, Electrotechnical Laboratory, 1-1-4 Umezono, Tsukuba-city, Ibaraki, 305, Japan, 1993. details

  5. H. Iba and T. Sato. Extension of STROGANOFF for symbolic problems. Technical report , ETL-TR-94-1, Electrotechnical Laboratory, 1-1-4 Umezono, Tsukuba-city, Ibaraki, 305, Japan, 1992. details

Genetic Programming etc Hitoshi Iba