Genetic Programming Bibliography entries for Will N Browne

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GP coauthors/coeditors: Isidro M Alvarez, Mengjie Zhang, Daniel L Atkins, Roman Klapaukh, Grant Dick, Peter Alexander Whigham, Lam Thu Bui, Hisao Ishibuchi, Yaochu Jin, Xiaodong Li, Yuhui Shi, Pramod Singh, Kay Chen Tan, Ke Tang, Carlton Downey, Anna Esparcia-Alcazar, Ying-ping Chen, Gabriela Ochoa, Ender Ozcan, Marc Schoenauer, Anne Auger, Hans-Georg Beyer, Nikolaus Hansen, Steffen Finck, Raymond Ros, L Darrell Whitley, Garnett Carl Wilson, Simon Harding, William B Langdon, Man Leung Wong, Laurence D Merkle, Frank William Moore, Sevan G Ficici, William Michael Rand, Rick L Riolo, Nawwaf Kharma, William R Buckley, Julian F Miller, Kenneth O Stanley, Jaume Bacardit, Jan Drugowitsch, Nicola Beume, Mike Preuss, Stephen L Smith, Stefano Cagnoni, Jim DeLeo, Alexandru Floares, Aaron Baughman, Steven M Gustafson, Maarten Keijzer, Arthur K Kordon, Clare Bates Congdon, Rachel Hunt, Mark Johnston, Muhammad Iqbal, Natalio Krasnogor, Pier Luca Lanzi, Andries P Engelbrecht, David A Pelta, Carlos Gershenson, Giovanni Squillero, Alex Alves Freitas, Marylyn D Ritchie, Christian Gagne, Yew-Soon Ong, Gunther R Raidl, Marcus Gallager, Jose A Lozano, Carlos Artemio Coello Coello, Dario Landa-Silva, Silja Meyer-Nieberg, James Smith, Gusz Eiben, Ester Bernado-Mansilla, Lee Spector, Tina Yu, Jeff Clune, Gregory S Hornby, Pierre Collet, Jean-Paul Watson, Moshe Sipper, Simon M Poulding, Carsten Witt, Jan Larres, Yuyu Liang, Yi Liu, Isidro Alvarez, Syed Saud Naqvi, Aaron Scoble, Bill Stephenson, Zane Bruce, Terence Soule, Jason H Moore, Christine Solnon, Alan Dorin, Christian Blum, Frank Neumann, Aniko Ekart, Tim Kovacs, Clara Pizzuti, Jonathan E Rowe, Tobias Friedrich, Nicolas Bredeche, Alison A Motsinger, Martin Pelikan, Silja Meyer-Nienberg, Christian Igel, Rene Doursat, Gustavo Olague, Shin Yoo, John A Clark, Gisele L Pappa, Fernando G Lobo, Daniel R Tauritz, Jurgen Branke, Kalyanmoy Deb, Bing Xue, Xin Yao,

Genetic Programming Articles by Will N Browne

  1. Yuyu Liang and Mengjie Zhang and Will N. Browne. Image feature selection using genetic programming for figure-ground segmentation. Engineering Applications of Artificial Intelligence, 62:96-108, 2017. details

  2. Yuyu Liang and Mengjie Zhang and Will N. Browne. Genetic programming for evolving figure-ground segmentors from multiple features. Applied Soft Computing, 51:83-95, 2017. details

  3. Bing Xue and Mengjie Zhang and Will N. Browne and Xin Yao. A Survey on Evolutionary Computation Approaches to Feature Selection. IEEE Transactions on Evolutionary Computation, 20(4):606-626, 2016. details

  4. Muhammad Iqbal and Will N. Browne and Mengjie Zhang. Improving genetic search in XCS-based classifier systems through understanding the evolvability of classifier rules. Soft Computing, 19(7):1863-1880, 2015. details

  5. Muhammad Iqbal and Will N. Browne and Mengjie Zhang. Reusing Building Blocks of Extracted Knowledge to Solve Complex, Large-Scale Boolean Problems. IEEE Transactions on Evolutionary Computation, 18(4):465-480, 2014. details

  6. Muhammad Iqbal and Will N. Browne and Mengjie Zhang. Evolving optimum populations with XCS classifier systems. Soft Computing, 17(3):503-518, 2013. details

  7. Muhammad Iqbal and Will N. Browne and Mengjie Zhang. Learning complex, overlapping and niche imbalance Boolean problems using XCS-based classifier systems. Evolutionary Intelligence, 6(2):73-91, 2013. details

Genetic Programming Conference proceedings edited by Will N Browne

  1. Grant Dick and Will N. Browne and Peter Whigham and Mengjie Zhang and Lam Thu Bui and Hisao Ishibuchi and Yaochu Jin and Xiaodong Li and Yuhui Shi and Pramod Singh and Kay Chen Tan and Ke Tang editors, Proceedings 10th International Conference on Simulated Evolution and Learning, SEAL 2014. Volume 8886 of Lecture Notes in Computer Science, Dunedin, New Zealand, Springer, 2014. details

  2. Terry Soule and Anne Auger and Jason Moore and David Pelta and Christine Solnon and Mike Preuss and Alan Dorin and Yew-Soon Ong and Christian Blum and Dario Landa Silva and Frank Neumann and Tina Yu and Aniko Ekart and Will Browne and Tim Kovacs and Man-Leung Wong and Clara Pizzuti and Jon Rowe and Tobias Friedrich and Giovanni Squillero and Nicolas Bredeche and Stephen L. Smith and Alison Motsinger-Reif and Jose Lozano and Martin Pelikan and Silja Meyer-Nienberg and Christian Igel and Greg Hornby and Rene Doursat and Steve Gustafson and Gustavo Olague and Shin Yoo and John Clark and Gabriela Ochoa and Gisele Pappa and Fernando Lobo and Daniel Tauritz and Jurgen Branke and Kalyanmoy Deb editors, GECCO '12: Proceedings of the fourteenth international conference on Genetic and evolutionary computation conference. Philadelphia, Pennsylvania, USA, 2012. details

  3. 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. Dublin, Ireland, 2011. details

  4. Anna I. Esparcia and Ying-ping Chen and Gabriela Ochoa and Ender Ozcan and Marc Schoenauer and Anne Auger and Hans-Georg Beyer and Nikolaus Hansen and Steffen Finck and Raymond Ros and Darrell Whitley and Garnett Wilson and Simon Harding and W. B. Langdon and Man Leung Wong and Laurence D. Merkle and Frank W. Moore and Sevan G. Ficici and William Rand and Rick Riolo and Nawwaf Kharma and William R. Buckley and Julian Miller and Kenneth Stanley and Jaume Bacardit and Will Browne and Jan Drugowitsch and Nicola Beume and Mike Preuss and Stephen L. Smith and Stefano Cagnoni and Jim DeLeo and Alexandru Floares and Aaron Baughman and Steven Gustafson and Maarten Keijzer and Arthur Kordon and Clare Bates Congdon and Laurence D. Merkle and Frank W. Moore editors, GECCO '09: Proceedings of the 11th annual conference companion on Genetic and evolutionary computation conference. Montreal, Qu\'ebec, Canada, ACM, 2009. details

Genetic Programming conference papers by Will N Browne

  1. Yuyu Liang and Mengjie Zhang and Will N. Browne. Wrapper Feature Construction for Figure-Ground Image Segmentation Using Genetic Programming. In Markus Wagner and Xiaodong Li and Tim Hendtlass editors, Artificial Life and Computational Intelligence - Third Australasian Conference, ACALCI 2017, Geelong, VIC, Australia, January 31 - February 2, 2017, Proceedings, volume 10142, pages 111-123, 2017. details

  2. Yuyu Liang and Mengjie Zhang and Will N. Browne. Learning Figure-ground Image Segmentors by Genetic Programming. In Proceedings of the Genetic and Evolutionary Computation Conference Companion, pages 239-240, Berlin, Germany, 2017. ACM. details

  3. Yuyu Liang and Mengjie Zhang and Will N. Browne. Multi-objective Genetic Programming for Figure-Ground Image Segmentation. In Tapabrata Ray and Ruhul A. Sarker and Xiaodong Li editors, Artificial Life and Computational Intelligence - Second Australasian Conference, ACALCI 2016, Canberra, ACT, Australia, February 2-5, 2016, Proceedings, volume 9592, pages 134-146, 2016. Springer. details

  4. Syed S. Naqvi and Will N. Browne. Adapting learning classifier systems to symbolic regression. In 2016 IEEE Congress on Evolutionary Computation (CEC), pages 2209-2216, 2016. details

  5. Yi Liu and Muhammad Iqbal and Isidro Alvarez and Will N. Browne. Integration of Code-Fragment based Learning Classifier Systems for Multiple Domain Perception and Learning. In Yew-Soon Ong editor, Proceedings of 2016 IEEE Congress on Evolutionary Computation (CEC 2016), pages 2177-2184, Vancouver, 2016. IEEE Press. details

  6. Yuyu Liang and Mengjie Zhang and Will N. Browne. Figure-ground Image Segmentation using Genetic Programming and Feature Selection. In Yew-Soon Ong editor, Proceedings of 2016 IEEE Congress on Evolutionary Computation (CEC 2016), pages 3839-3846, Vancouver, 2016. IEEE Press. details

  7. Will N. Browne. Code Fragments: Past and Future use in Transfer Learning. In Tobias Friedrich and Frank Neumann and Andrew M. Sutton and Martin Middendorf and Xiaodong Li and Emma Hart and Mengjie Zhang and Youhei Akimoto and Peter A. N. Bosman and Terry Soule and Risto Miikkulainen and Daniele Loiacono and Julian Togelius and Manuel Lopez-Ibanez and Holger Hoos and Julia Handl and Faustino Gomez and Carlos M. Fonseca and Heike Trautmann and Alberto Moraglio and William F. Punch and Krzysztof Krawiec and Zdenek Vasicek and Thomas Jansen and Jim Smith and Simone Ludwig and JJ Merelo and Boris Naujoks and Enrique Alba and Gabriela Ochoa and Simon Poulding and Dirk Sudholt and Timo Koetzing editors, GECCO '16 Companion: Proceedings of the Companion Publication of the 2016 Annual Conference on Genetic and Evolutionary Computation, pages 1405-1405, Denver, Colorado, USA, 2016. ACM. details

  8. Isidro M. Alvarez and Will N. Browne and Mengjie Zhang. Human-inspired Scaling in Learning Classifier Systems: Case Study on the n-bit Multiplexer Problem Set. In Tobias Friedrich and Frank Neumann and Andrew M. Sutton and Martin Middendorf and Xiaodong Li and Emma Hart and Mengjie Zhang and Youhei Akimoto and Peter A. N. Bosman and Terry Soule and Risto Miikkulainen and Daniele Loiacono and Julian Togelius and Manuel Lopez-Ibanez and Holger Hoos and Julia Handl and Faustino Gomez and Carlos M. Fonseca and Heike Trautmann and Alberto Moraglio and William F. Punch and Krzysztof Krawiec and Zdenek Vasicek and Thomas Jansen and Jim Smith and Simone Ludwig and JJ Merelo and Boris Naujoks and Enrique Alba and Gabriela Ochoa and Simon Poulding and Dirk Sudholt and Timo Koetzing editors, GECCO '16: Proceedings of the 2016 Annual Conference on Genetic and Evolutionary Computation, pages 429-436, Denver, USA, 2016. ACM. details

  9. Yuyu Liang and Mengjie Zhang and Will Browne. A Supervised Figure-ground Segmentation Method using Genetic Programming. In Antonio M. Mora and Giovanni Squillero editors, 18th European Conference on the Applications of Evolutionary Computation, volume 9028, pages 491-503, Copenhagen, 2015. Springer. details

  10. Yuyu Liang and Mengjie Zhang and Will N. Browne. Image Segmentation: A Survey of Methods Based on Evolutionary Computation. In Grant Dick and Will N. Browne and Peter Whigham and Mengjie Zhang and Lam Thu Bui and Hisao Ishibuchi and Yaochu Jin and Xiaodong Li and Yuhui Shi and Pramod Singh and Kay Chen Tan and Ke Tang editors, Proceedings 10th International Conference on Simulated Evolution and Learning, SEAL 2014, volume 8886, pages 847-859, Dunedin, New Zealand, 2014. Springer. details

  11. Aaron Scoble and Will Browne and Bill Stephenson and Zane Bruce and Mengjie Zhang. Evolutionary Spatial Auto-Correlation for Assessing Earthquake Liquefaction Potential using Parallel Linear Genetic Programming. In Luis Gerardo de la Fraga editor, 2013 IEEE Conference on Evolutionary Computation, volume 1, pages 2940-2947, Cancun, Mexico, 2013. details

  12. Roman Klapaukh and Will Browne and Mengjie Zhang. The Effect of Primitive Sets on the Expression of Evolved Images. In Luis Gerardo de la Fraga editor, 2013 IEEE Conference on Evolutionary Computation, volume 1, pages 725-732, Cancun, Mexico, 2013. details

  13. Muhammad Iqbal and Will N. Browne and Mengjie Zhang. Comparison of two methods for computing action values in XCS with code-fragment actions. 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 1235-1242, Amsterdam, The Netherlands, 2013. ACM. details

  14. Muhammad Iqbal and Will N. Browne and Mengjie Zhang. Extending learning classifier system with cyclic graphs for scalability on complex, large-scale Boolean problems. In 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, pages 1045-1052, Amsterdam, The Netherlands, 2013. ACM. details

  15. Muhammad Iqbal and Mengjie Zhang and Will Browne. Automatically defined functions for learning classifier systems. In Daniele Loiacono and Albert Orriols-Puig and Ryan Urbanowicz editors, Fourteenth international workshop on learning classifier systems, pages 375-382, Dublin, Ireland, 2011. ACM. details

  16. Jan Larres and Mengjie Zhang and Will N Browne. Using unrestricted loops in genetic programming for image classification. In IEEE Congress on Evolutionary Computation (CEC 2010), Barcelona, Spain, 2010. IEEE Press. details

  17. Rachel Hunt and Mark Johnston and Will N. Browne and Mengjie Zhang. Sampling Methods in Genetic Programming for Classification with Unbalanced Data. In Jiuyong Li editor, Australasian Conference on Artificial Intelligence, volume 6464, pages 273-282, 2010. Springer. details

  18. Carlton Downey and Mengjie Zhang and Will N. Browne. New crossover operators in linear genetic programming for multiclass object classification. 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 885-892, Portland, Oregon, USA, 2010. ACM. details

  19. Daniel L Atkins and Roman Klapaukh and Will N Browne and Mengjie Zhang. Evolution of aesthetically pleasing images without human-in-the-loop. In IEEE Congress on Evolutionary Computation (CEC 2010), Barcelona, Spain, 2010. IEEE Press. details