Genetic Programming Bibliography entries for Michael A Lones

up to index Created by W.Langdon from gp-bibliography.bib Revision:1.8051

GP coauthors/coeditors: Luis A Fuente, Alexander P Turner, Susan Stepney, Leo Caves, Andrew M Tyrrell, Nigel T Crook, Tjeerd V Olde Scheper, Fraser Garrow, Robert Stewart, Andrew T Harris, Anxhela Lungari, Christopher J Needham, Stephen L Smith, Sheila E Fisher, Xuebin Yang, Nicola Cooper, Jennifer Kirkham, D Alastair Smith, Dominic P Martin-Hirsch, Alec S High, Stuart E Lacy, Jane E Alty, D R Stuart Jamieson, Katherine L Possin, Norbert Schuff, Phillipa Duggan-Carter, Andrew James Turner, Jeremy Cosgrove, Philippa Duggan-Carter, Rebecca Frances Naylor, Matthew Bedder, Richard J Maguire, Mary Elizabeth Pownall, Diana Ivanoiu, Camille Lyle, Amy Cording, Christopher J H Elliott, Nadia Solime Taou, David W Corne, Martin A Trefzer,

Genetic Programming Articles by Michael A Lones

  1. Michael A. Lones. Evolving continuous optimisers from scratch. Genetic Programming and Evolvable Machines, 22(4):395-428, 2021. Special Issue: Highlights of Genetic Programming 2020 Events. details

  2. Michael A. Lones and Jane E. Alty and Jeremy Cosgrove and Philippa Duggan-Carter and Stuart Jamieson and Rebecca F. Naylor and Andrew J. Turner and Stephen L. Smith. A New Evolutionary Algorithm-Based Home Monitoring Device for Parkinson's Dyskinesia. Journal of Medical Systems, 41(11):176, 2017. details

  3. Stephen L. Smith and Michael A. Lones and Matthew Bedder and Jane E. Alty and Jeremy Cosgrove and Richard J. Maguire and Mary Elizabeth Pownall and Diana Ivanoiu and Camille Lyle and Amy Cording and Christopher J. H. Elliott. Computational approaches for understanding the diagnosis and treatment of Parkinson's disease. IET Systems Biology, 9(6):226-233, 2015. details

  4. Michael Adam Lones and Stephen Leslie Smith and Jane Elizabeth Alty and Stuart E. Lacy and Katherine L. Possin and D. R. Stuart Jamieson and Andy M. Tyrrell. Evolving Classifiers to Recognise the Movement Characteristics of Parkinson's Disease Patients. IEEE Transactions on Evolutionary Computation, 18(4):559-576, 2014. details

  5. Michael A. Lones and Luis A. Fuente and Alexander P. Turner and Leo S. D. Caves and Susan Stepney and Stephen L. Smith and Andy M. Tyrrell. Artificial Biochemical Networks: Evolving Dynamical Systems to Control Dynamical Systems. IEEE Transactions on Evolutionary Computation, 18(2):145-166, 2014. details

  6. Alexander P. Turner and Michael A. Lones and Luis A. Fuente and Susan Stepney and Leo S. D. Caves and Andy M. Tyrrell. The incorporation of epigenetics in artificial gene regulatory networks. Biosystems, 112(2):56-62, 2013. Selected papers from the 9th International Conference on Information Processing in Cells and Tissues. details

  7. Luis A. Fuente and Michael A. Lones and Alexander P. Turner and Susan Stepney and Leo S. Caves and Andy M. Tyrrell. Computational models of signalling networks for non-linear control. Biosystems, 112(2):122-130, 2013. Selected papers from the 9th International Conference on Information Processing in Cells and Tissues. details

  8. Michael Lones. Sean Luke: essentials of metaheuristics. Genetic Programming and Evolvable Machines, 12(3):333-334, 2011. Book review. details

  9. Andrew T. Harris and Anxhela Lungari and Christopher J. Needham and Stephen L. Smith and Michael A. Lones and Sheila E. Fisher and Xuebin Yang and Nicola Cooper and Jennifer Kirkham and D. Alastair Smith and Dominic P. Martin-Hirsch and Alec S. High. Potential for Raman Spectroscopy to Provide Cancer Screening Using a Peripheral Blood Sample. Head \& Neck Oncology, 1:34, 2009. details

  10. Michael A. Lones and Andy M. Tyrrell. Modelling biological evolvability: Implicit context and variation filtering in enzyme genetic programming. BioSystems, 76(1--3):229-238, 2004. details

  11. Michael A. Lones and Andy M. Tyrrell. Biomimetic Representation with Genetic Programming Enzyme. Genetic Programming and Evolvable Machines, 3(2):193-217, 2002. details

Genetic Programming PhD doctoral thesis Michael A Lones

Genetic Programming conference papers by Michael A Lones

  1. Fraser Garrow and Michael Lones and Robert Stewart. Why Functional Program Synthesis Matters (In the Realm of Genetic Programming). In Heike Trautmann and Carola Doerr and Alberto Moraglio and Thomas Bartz-Beielstein and Bogdan Filipic and Marcus Gallagher and Yew-Soon Ong and Abhishek Gupta and Anna V Kononova and Hao Wang and Michael Emmerich and Peter A. N. Bosman and Daniela Zaharie and Fabio Caraffini and Johann Dreo and Anne Auger and Konstantin Dietric and Paul Dufosse and Tobias Glasmachers and Nikolaus Hansen and Olaf Mersmann and Petr Posik and Tea Tusar and Dimo Brockhoff and Tome Eftimov and Pascal Kerschke and Boris Naujoks and Mike Preuss and Vanessa Volz and Bilel Derbel and Ke Li and Xiaodong Li and Saul Zapotecas and Qingfu Zhang and Mark Coletti and Catherine (Katie) Schuman and Eric ``Siggy'' Scott and Robert Patton and Paul Wiegand and Jeffrey K. Bassett and Chathika Gunaratne and Tinkle Chugh and Richard Allmendinger and Jussi Hakanen and Daniel Tauritz and John Woodward and Manuel Lopez-Ibanez and John McCall and Jaume Bacardit and Alexander Brownlee and Stefano Cagnoni and Giovanni Iacca and David Walker and Jamal Toutouh and UnaMay O'Reilly and Penousal Machado and Joao Correia and Sergio Nesmachnow and Josu Ceberio and Rafael Villanueva and Ignacio Hidalgo and Francisco Fernandez de Vega and Giuseppe Paolo and Alex Coninx and Antoine Cully and Adam Gaier and Stefan Wagner and Michael Affenzeller and Bobby R. Bruce and Vesna Nowack and Aymeric Blot and Emily Winter and William B. Langdon and Justyna Petke and Silvino Fernandez Alzueta and Pablo Valledor Pellicer and Thomas Stuetzle and David Paetzel and Alexander Wagner and Michael Heider and Nadarajen Veerapen and Katherine Malan and Arnaud Liefooghe and Sebastien Verel and Gabriela Ochoa and Mohammad Nabi Omidvar and Yuan Sun and Ernesto Tarantino and De Falco Ivanoe and Antonio Della Cioppa and Scafuri Umberto and John Rieffel and Jean-Baptiste Mouret and Stephane Doncieux and Stefanos Nikolaidis and Julian Togelius and Matthew C. Fontaine and Serban Georgescu and Francisco Chicano and Darrell Whitley and Oleksandr Kyriienko and Denny Dahl and Ofer Shir and Lee Spector and Alma Rahat and Richard Everson and Jonathan Fieldsend and Handing Wang and Yaochu Jin and Erik Hemberg and Marwa A. Elsayed and Michael Kommenda and William La Cava and Gabriel Kronberger and Steven Gustafson editors, Proceedings of the 2022 Genetic and Evolutionary Computation Conference Companion, Boston, USA, 2022. Association for Computing Machinery. details

  2. Michael Lones. Optimising Optimisers with Push GP. In Ting Hu and Nuno Lourenco and Eric Medvet editors, EuroGP 2020: Proceedings of the 23rd European Conference on Genetic Programming, volume 12101, pages 101-117, Seville, Spain, 2020. Springer Verlag. details

  3. Michael A. Lones. Instruction-level design of local optimisers using push GP. In Richard Allmendinger and Carlos Cotta and Carola Doerr and Pietro S. Oliveto and Thomas Weise and Ales Zamuda and Anne Auger and Dimo Brockhoff and Nikolaus Hansen and Tea Tusar and Konstantinos Varelas and David Camacho-Fernandez and Massimiliano Vasile and Annalisa Riccardi and Bilel Derbel and Ke Li and Xiaodong Li and Saul Zapotecas and Qingfu Zhang and Ozgur Akman and Khulood Alyahya and Juergen Branke and Jonathan Fieldsend and Tinkle Chugh and Jussi Hakanen and Josu Ceberio Uribe and Valentino Santucci and Marco Baioletti and John McCall and Emma Hart and Daniel R. Tauritz and John R. Woodward and Koichi Nakayama and Chika Oshima and Stefan Wagner and Michael Affenzeller and Eneko Osaba and Javier Del Ser and Pascal Kerschke and Boris Naujoks and Vanessa Volz and Anna I Esparcia-Alcazar and Riyad Alshammari and Erik Hemberg and Tokunbo Makanju and Brad Alexander and Saemundur O. Haraldsson and Markus Wagner and Silvino Fernandez Alzueta and Pablo Valledor Pellicer and Thomas Stuetzle and David Walker and Matt Johns and Nick Ross and Ed Keedwell and Masaya Nakata and Anthony Stein and Takato Tatsumi and Nadarajen Veerapen and Arnaud Liefooghe and Sebastien Verel and Gabriela Ochoa and Stephen Smith and Stefano Cagnoni and Robert M. Patton and William La Cava and Randal Olson and Patryk Orzechowski and Ryan Urbanowicz and Akira Oyama and Koji Shimoyama and Hemant Kumar Singh and Kazuhisa Chiba and Pramudita Satria Palar and Alma Rahat and Richard Everson and Handing Wang and Yaochu Jin and Marcus Gallagher and Mike Preuss and Olivier Teytaud and Fernando Lezama and Joao Soares and Zita Vale editors, GECCO '19: Proceedings of the Genetic and Evolutionary Computation Conference Companion, pages 1487-1494, Prague, Czech Republic, 2019. ACM. details

  4. Nadia S. Taou and Michael A. Lones. Towards In Vivo Genetic Programming: Evolving Boolean Networks to Determine Cell States. In Mauro Castelli and Lukas Sekanina and Mengjie Zhang and Stefano Cagnoni and Pablo Garcia-Sanchez editors, EuroGP 2018: Proceedings of the 21st European Conference on Genetic Programming, volume 10781, pages 151-165, Parma, Italy, 2018. Springer Verlag. details

  5. Michael A. Lones and Jane E. Alty and Jeremy Cosgrove and Stuart Jamieson and Stephen L. Smith. Going Through Directional Changes: Evolving Human Movement Classifiers Using an Event Based Encoding. In Proceedings of the Genetic and Evolutionary Computation Conference Companion, pages 1365-1371, Berlin, Germany, 2017. ACM. details

  6. Nadia S. Taou and David W. Corne and Michael A. Lones. Towards Intelligent Biological Control: Controlling Boolean Networks with Boolean Networks. In Giovanni Squillero and Paolo Burelli editors, 19th European Conference on Applications of Evolutionary Computation, EvoApplications 2016, Part I, volume 9597, pages 351-362, Porto, Portugal, 2016. Springer. details

  7. Alexander P. Turner and Martin A. Trefzer and Michael A. Lones and Andy M. Tyrrell. Evolving Efficient Solutions to Complex Problems Using the Artificial Epigenetic Network. In Michael Lones and Andy Tyrrell and Stephen Smith and Gary Fogel editors, 10th International Conference on Information Processing in Cells and Tissues, IPCAT 2015, volume 9303, pages 153-165, San Diego, CA, USA, 2015. Springer International Publishing. details

  8. Michael A. Lones and Stuart E. Lacy and Stephen L. Smith. Evolving Ensembles: What Can We Learn from Biological Mutualisms?. In Michael Lones and Andy Tyrrell and Stephen Smith and Gary Fogel editors, 10th International Conference on Information Processing in Cells and Tissues, IPCAT 2015, volume 9303, pages 52-60, San Diego, CA, USA, 2015. Springer International Publishing. details

  9. Stuart E. Lacy and Michael A. Lones and Stephen L. Smith. Forming classifier ensembles with multimodal evolutionary algorithms. In 2015 IEEE Congress on Evolutionary Computation (CEC), pages 723-729, 2015. IEEE. details

  10. Stuart E. Lacy and Michael A. Lones and Stephen L. Smith. A comparison of evolved linear and non-linear ensemble vote aggregators. In 2015 IEEE Congress on Evolutionary Computation (CEC), pages 758-763, 2015. IEEE. details

  11. Luis A. Fuente and Michael A. Lones and Nigel T. Crook and Tjeerd V. Olde Scheper. Harmonic Versus Chaos Controlled Oscillators in Hexapedal Locomotion. In Michael Lones and Andy Tyrrell and Stephen Smith and Gary Fogel editors, 10th International Conference on Information Processing in Cells and Tissues, IPCAT 2015, volume 9303, pages 114-127, San Diego, CA, USA, 2015. Springer International Publishing. details

  12. Michael A. Lones and Jane E. Alty and Phillipa Duggan-Carter and Andrew J. Turner and D. R. Stuart Jamieson and Stephen L. Smith. Classification and characterisation of movement patterns during levodopa therapy for parkinson's disease. In Stephen L. Smith and Stefano Cagnoni and Robert M. Patton editors, GECCO 2014 Workshop on Medical Applications of Genetic and Evolutionary Computation (MedGEC), pages 1321-1328, Vancouver, BC, Canada, 2014. ACM. details

  13. Michael A. Lones and Jane E. Alty and Stuart E. Lacy and D. R. Stuart Jamieson and Kate L. Possin and Norbert Schuff and Stephen L. Smith. Evolving classifiers to inform clinical assessment of Parkinson's disease. In Amir Hussain editor, IEEE Symposium on Computational Intelligence in Healthcare and e-health, CICARE 2013, pages 76-82, Singapore, 2013. details

  14. Stuart E. Lacy and Michael A. Lones and Stephen L. Smith and Jane E. Alty and D. R. Stuart Jamieson and Katherine L. Possin and Norbert Schuff. Characterisation of movement disorder in parkinson's disease using evolutionary algorithms. In Christian Blum and Enrique Alba and Thomas Bartz-Beielstein and Daniele Loiacono and Francisco Luna and Joern Mehnen and Gabriela Ochoa and Mike Preuss and Emilia Tantar and Leonardo Vanneschi and Kent McClymont and Ed Keedwell and Emma Hart and Kevin Sim and Steven Gustafson and Ekaterina Vladislavleva and Anne Auger and Bernd Bischl and Dimo Brockhoff and Nikolaus Hansen and Olaf Mersmann and Petr Posik and Heike Trautmann and Muhammad Iqbal and Kamran Shafi and Ryan Urbanowicz and Stefan Wagner and Michael Affenzeller and David Walker and Richard Everson and Jonathan Fieldsend and Forrest Stonedahl and William Rand and Stephen L. Smith and Stefano Cagnoni and Robert M. Patton and Gisele L. Pappa and John Woodward and Jerry Swan and Krzysztof Krawiec and Alexandru-Adrian Tantar and Peter A. N. Bosman and Miguel Vega-Rodriguez and Jose M. Chaves-Gonzalez and David L. Gonzalez-Alvarez and Sergio Santander-Jimenez and Lee Spector and Maarten Keijzer and Kenneth Holladay and Tea Tusar and Boris Naujoks editors, GECCO '13 Companion: Proceeding of the fifteenth annual conference companion on Genetic and evolutionary computation conference companion, pages 1479-1486, Amsterdam, The Netherlands, 2013. ACM. details

  15. Michael A. Lones and Andy M. Tyrrell and Susan Stepney and Leo S. Caves. Controlling legged robots with coupled artificial biochemical networks. In Rene Doursat editor, Advances in Artificial Life, ECAL, pages 465-472, Paris, 2011. MIT Press. details

  16. Michael Lones and Andy Tyrrell and Susan Stepney and Leo Caves. Controlling Complex Dynamics with Artificial Biochemical Networks. In Anna Isabel Esparcia-Alcazar and Aniko Ekart and Sara Silva and Stephen Dignum and A. Sima Uyar editors, Proceedings of the 13th European Conference on Genetic Programming, EuroGP 2010, volume 6021, pages 159-170, Istanbul, 2010. Springer. details

  17. Michael A. Lones and Stephen L. Smith and Andrew T. Harris and Alec S. High and Sheila E. Fisher and D. Alastair Smith and Jennifer Kirkham. Discriminating Normal and Cancerous Thyroid Cell Lines using Implicit Context Representation Cartesian Genetic Programming. In Pilar Sobrevilla editor, 2010 IEEE World Congress on Computational Intelligence, pages 1945-1950, Barcelona, 2010. IEEE. details

  18. Stephen L. Smith and Michael A. Lones. Implicit Context Representation Cartesian Genetic Programming for the Assessment of Visuo-Spatial Ability. In Andy Tyrrell editor, 2009 IEEE Congress on Evolutionary Computation, pages 1072-1078, Trondheim, Norway, 2009. IEEE Press. details

  19. Michael A. Lones and Andy M. Tyrrell. A Co-Evolutionary Framework for Regulatory Motif Discovery. In Dipti Srinivasan and Lipo Wang editors, 2007 IEEE Congress on Evolutionary Computation, pages 3894-3901, Singapore, 2007. IEEE Press. details

  20. Michael A. Lones and Andy M. Tyrrell. Modelling Biological Evolvability: Implicit Context and Variation Filtering in Enzyme Genetic Programming. In D. Mange and C. Teuscher and M. Holcombe and R. Paton and A. Stauffer and G. Tempesti editors, Proceedings of the Fifth International Workshop on Information Processing in Cells and Tissues (IPCAT2003), 2003. details

  21. Michael Lones and Andy Tyrrell. Crossover and Bloat in the Functionality Model of Enzyme Genetic Programming. 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 986-991, 2002. IEEE Press. details

  22. Michael A. Lones and Andy M. Tyrrell. Pathways into Genetic Programming. In Conor Ryan editor, Graduate Student Workshop, pages 425-428, San Francisco, California, USA, 2001. details

  23. Michael A. Lones and Andy M. Tyrrell. Biomimetic Representation in Genetic Programming. In Hillol Kargupta editor, Computation in Gene Expression, pages 199-204, San Francisco, California, USA, 2001. details

  24. Michael A. Lones and Andy M. Tyrrell. Enzyme Genetic Programming. In Proceedings of the 2001 Congress on Evolutionary Computation, CEC 2001, pages 1183-1190, COEX, World Trade Center, 159 Samseong-dong, Gangnam-gu, Seoul, Korea, 2001. IEEE Press. details

Genetic Programming book chapters by Michael A Lones

  1. Stephen L. Smith and Michael A. Lones. Medical Applications of Cartesian Genetic Programming. In Susan Stepney and Andrew Adamatzky editors, Inspired by Nature: Essays Presented to Julian F. Miller on the Occasion of his 60th Birthday, volume 28 of Emergence, Complexity and Computation, chapter 12, pages 247-266. Springer, 2017. details

  2. Michael A. Lones. Computing with artificial gene regulatory networks. In Hitoshi Iba and Nasimul Noman editors, Evolutionary Computation in Gene Regulatory Network Research, chapter 15, page 398-. John Wiley \& Sons, 2016. details

  3. Michael A. Lones and Stephen L. Smith. Objective Assessment of Visuo-Spatial Ability Using Implicit Context Representation Cartesian Genetic Programming. In Stephen L. Smith and Stefano Cagnoni editors, Genetic and Evolutionary Computation: Medical Applications, chapter 6.1, pages 174-189. John Wiley and Sons, Ltd, 2010. details

  4. Michael A. Lones and Andy M. Tyrrell. Enzyme Genetic Programming. In Martyn Amos editor, Cellular Computing, chapter 3, pages 19-42. Oxford University Press, 2004. details