Genetic Programming Bibliography entries for Will Smart

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GP coauthors/coeditors: Mengjie Zhang, Peter Andreae, Yun Zhang,

Genetic Programming Articles by Will Smart

Genetic Programming conference papers by Will Smart

  1. Will Smart and Mengjie Zhang. Empirical Analysis of Schemata in Genetic Programming using Maximal Schemata and MSG. In Jun Wang editor, 2008 IEEE World Congress on Computational Intelligence, pages 2983-2990, Hong Kong, 2008. IEEE Press. details

  2. Will Smart and Peter Andreae and Mengjie Zhang. Empirical Analysis of GP Tree-Fragments. In Marc Ebner and Michael O'Neill and Anik\'o Ek\'art and Leonardo Vanneschi and Anna Isabel Esparcia-Alc\'azar editors, Proceedings of the 10th European Conference on Genetic Programming, volume 4445, pages 55-67, Valencia, Spain, 2007. Springer. details

  3. Mengjie Zhang and Will Smart. Learning Weights in Genetic Programs Using Gradient Descent for Object Recognition. In Franz Rothlauf and Juergen Branke and Stefano Cagnoni and David W. Corne and Rolf Drechsler and Yaochu Jin and Penousal Machado and Elena Marchiori and Juan Romero and George D. Smith and Giovanni Squillero editors, Applications of Evolutionary Computing, EvoWorkshops2005: EvoBIO, EvoCOMNET, EvoHOT, EvoIASP, EvoMUSART, EvoSTOC, volume 3449, pages 417-427, Lausanne, Switzerland, 2005. Springer Verlag. details

  4. William Smart and Mengjie Zhang. Using Genetic Programming for Multiclass Classification by Simultaneously Solving Component Binary Classification Problems. In Maarten Keijzer and Andrea Tettamanzi and Pierre Collet and Jano I. van Hemert and Marco Tomassini editors, Proceedings of the 8th European Conference on Genetic Programming, volume 3447, pages 227-239, Lausanne, Switzerland, 2005. Springer. details

  5. Mengjie Zhang and Yun Zhang and Will Smart. Program Simplification in Genetic Programming for Object Classification. In Rajiv Khosla and Robert J. Howlett and Lakhmi C. Jain editors, Knowledge-Based Intelligent Information and Engineering Systems, 9th International Conference, KES 2005, Proceedings, Part III, volume 3683, pages 988-996, Melbourne, Australia, 2005. Springer. details

  6. Mengjie Zhang and Will Smart. Multiclass Object Classification Using Genetic Programming. In Guenther R. Raidl and Stefano Cagnoni and Jurgen Branke and David W. Corne and Rolf Drechsler and Yaochu Jin and Colin R. Johnson and Penousal Machado and Elena Marchiori and Franz Rothlauf and George D. Smith and Giovanni Squillero editors, Applications of Evolutionary Computing, EvoWorkshops2004: EvoBIO, EvoCOMNET, EvoHOT, EvoIASP, EvoMUSART, EvoSTOC, volume 3005, pages 369-378, Coimbra, Portugal, 2004. Springer Verlag. details

  7. Mengjie Zhang and Will Smart. Genetic Programming with Gradient Descent Search for Multiclass Object Classification. In Maarten Keijzer and Una-May O'Reilly and Simon M. Lucas and Ernesto Costa and Terence Soule editors, Genetic Programming 7th European Conference, EuroGP 2004, Proceedings, volume 3003, pages 399-408, Coimbra, Portugal, 2004. Springer-Verlag. details

  8. Will Smart and Mengjie Zhang. Probability Based Genetic Programming for Multiclass Object Classification. In Chengqi Zhang and Hans W. Guesgen and Wai-Kiang Yeap editors, PRICAI 2004: Trends in Artificial Intelligence, 8th Pacific Rim International Conference on Artificial Intelligence, volume 3157, pages 251-261, Auckland, New Zealand, 2004. Springer. details

  9. Will Smart and Mengjie Zhang. Applying Online Gradient Descent Search to Genetic Programming for Object Recognition. In James Hogan and Paul Montague and Martin Purvis and Chris Steketee editors, CRPIT '04: Proceedings of the second workshop on Australasian information security, Data Mining and Web Intelligence, and Software Internationalisation, volume 32 no. 7, pages 133-138, Dunedin, New Zealand, 2004. Australian Computer Society, Inc.. details

  10. Will Smart and Mengjie Zhang. Tracking Object Positions in Real-time Video using Genetic Programming. In David Pairman and Heather North and Stephen McNeill editors, Proceeding of Image and Vision Computing International Conference, pages 113-118, Akaroa, New Zealand, 2004. Lincoln, Landcare Research. details

  11. Will Smart and Mengjie Zhang. Continuously Evolving Programs in Genetic Programming using Gradient Descent. In R I Mckay and Sung-Bae Cho editors, Proceedings of The Second Asian-Pacific Workshop on Genetic Programming, page 16pp, Cairns, Australia, 2004. details

  12. Will R. Smart and Mengjie Zhang. Classification Strategies for Image Classification in Genetic Programming. In Donald Bailey editor, Proceeding of Image and Vision Computing NZ International Conference, pages 402-407, Palmerston North, New Zealand, 2003. Massey University. details

Genetic Programming technical reports by Will Smart

  1. Mengjie Zhang and Will Smart. Using Gaussian Distribution to Construct Fitness Functions in Genetic Programming for Multiclass Object Classification. Technical report, CS-TR-05-5, Computer Science, Victoria University of Wellington, New Zealand, 2005. details

  2. Will Smart and Mengjie Zhang. Using Genetic Programming for Multiclass Classification by Simultaneously Solving Component Binary Classification Problems. Technical report, CS-TR-05-1, Computer Science, Victoria University of Wellington, New Zealand, 2005. details

  3. Will Smart and Mengjie Zhang. Probability Based Genetic Programming for Multiclass Object Classification. Technical report, CS-TR-04-7, Computer Science, Victoria University of Wellington, New Zealand, 2004. details

  4. Mengjie Zhang and Will Smart. Multiclass Object Classification Using Genetic Programming. Technical report, CS-TR-04-2, Computer Science, Victoria University of Wellington, New Zealand, 2004. details

  5. Will Smart and Mengjie Zhang. Tracking Object Positions in Real-time Video using Genetic Programming. Technical report, CS-TR-04-13, Computer Science, Victoria University of Wellington, New Zealand, 2004. details

  6. Will Smart and Mengjie Zhang. Evolving Weights in Genetic Programs Using Gradient Descent. Technical report, CS-TR-04-11, Computer Science, Victoria University of Wellington, New Zealand, 2004. details

  7. Will Smart and Mengjie Zhang. Continuously Evolving Programs in Genetic Programming Using Gradient Descent. Technical report, CS-TR-04-10, Computer Science, Victoria University of Wellington, New Zealand, 2004. details

  8. Will Smart and Mengjie Zhang. Applying Online Gradient Descent Search to Genetic Programming. Technical report, CS-TR-03-13, Computer Science, Victoria University of Wellington, New Zealand, 2003. details

Genetic Programming MSc thesis Will Smart