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VotesPapers (by subject area)Suggester: NotesLinkDate Discussed

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Evolutionary Neural Networks

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JBS, VKV, JNB, MJQErin J. Hastings, Ratan Guha, and Kenneth O. Stanley (2009) Evolving Content in the Galactic Arms Race Video Game. Proceedings of the IEEE Symposium on Computational Intelligence and Games(CIG'09). Jacob: The latest cool variation of NEAT in a videogamehttp://eplex.cs.ucf.edu/papers/hastings_cig09.pdf5/6/2010

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MGB, MJQ, JBS, EBLinhardt,.M.J., Butz, M.V. (2009). "NEAT in Increasingly Non-Linear Control Situations". In GECCO-2009: Proceedings of the Genetic and Evolutionary Computation Conference. ACM Press.Julian: Stress-testing NEAT to see what kind of domains it fails inhttp://portal.acm.org/citation.cfm?id=1570256.157028211/3/2010

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JNB, RMClune J, Mouret J-B, Lipson H (2013) The evolutionary origins of modularity. Proceedings of the Royal Society B. 280: 20122863.Risto: How does modularity evolve?http://jeffclune.com/publications/2013-CluneEtAl-EvolutionaryOriginsModularity-RoyalSociety.pdf3/28/20139/17/2013 18:02:33

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Robotics and RL

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JBS,EB,IVK,DGL, VKVRogier Koppejan, Shimon Whiteson. (2009). "Neuroevolutionary Reinforcement Learning for Generalized Helicopter Control". In GECCO-2009: Proceedings of the Genetic and Evolutionary Computation Conference. ACM Press.Julian: This neuroevolution approach won first place in 2008 RL Competitionhttp://staff.science.uva.nl/~whiteson/pubs/b2hd-koppejangecco09.html2/25/2010

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MGB, MJQ, IVK, EBButz, M.V., Herbort, O. (2008). "Context-Dependent Predictions and Cognitive Arm Control with XCSF". In GECCO-2008: Proceedings of the Genetic and Evolutionary Computation Conference. ACM Press.Julian: XCSF for robot arm control. Won best paper.http://portal.acm.org/citation.cfm?id=13893609/8/2010

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MGB, MJQ, IVK, EBButz, M., Pedersen, G.K.M., Stalph, P.O., (2009). "Learning Sensorimotor Control Structures with XCSF". In GECCO-2009: Proceedings of the Genetic and Evolutionary Computation Conference. ACM Press.Julian: Continuing work from above paper. Won best paper again.http://portal.acm.org/citation.cfm?id=15700599/8/2010

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IVK, BCS, JNB, EBSimon M. Lucas. Estimating Learning Rates in Evolution and TDL: Results on a Simple Grid-World Problem. IEEE CIG 2010.Igor: TD RL learns faster than evolutionary algorithms and has a higher upper bound... So why should we use EAs?http://game.itu.dk/cig2010/proceedings/papers/cig10_046_100.pdf2/22/2011

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JNBDoucette, J.A., Lichodzijewski, P., Heywood, M.I. (2012). "Hierarchical task decomposition through symbiosis in reinforcement learning". In Proceedings of the 14th Annual Genetic and Evolutionary Computation Conference, pp. 97-104. (Philadelphia, PA, USA, July 7-11). ACM, New York, NY.Julian: interesting combination of hierarchical RL with evolutionhttp://dl.acm.org.ezproxy.lib.utexas.edu/citation.cfm?id=233017810/19/20129/17/2013 17:42:34

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Genetic Algorithms

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JNB, JBS, BCS, EBGalan, S. F., Mengshoel, O. J. (2010). "Generalized crowding for genetic algorithms". In Proceedings of the 12th Annual Conference on Genetic and Evolutionary Computation (Portland, Oregon, USA, July 07 - 11, 2010). GECCO '10. ACM, New York, NY, 775-782.Julian: A unified framework for diversity maintenance in GA's. Saw this presented at GECCO and thought it was good with broad applicability in EAs.http://portal.acm.org/ft_gateway.cfm?id=1830620&type=pdf&coll=GUIDE&dl=GUIDE&CFID=100502445&CFTOKEN=8567716310/20/2010

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Genetic Programming

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JNB, JBS, EB, IVKAzad, R. A., Ryan, C. (2010). "Abstract functions and lifetime learning in genetic programming for symbolic regression". In Proceedings of the 12th Annual Conference on Genetic and Evolutionary Computation (Portland, Oregon, USA, July 07 - 11, 2010). GECCO '10. ACM, New York, NY, 893-900.Julian: combines learning with evolution. Got a best paper nomination.http://portal.acm.org/ft_gateway.cfm?id=1830645&type=pdf&coll=GUIDE&dl=GUIDE&CFID=103134633&CFTOKEN=602545853/18/2011

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JNB, BCS, JBSKourosh Neshatian, Mengjie Zhang. (2009). "Pareto front feature selection: using genetic programming to explore feature space". In GECCO-2009: Proceedings of the Genetic and Evolutionary Computation Conference. ACM Press.Julian: Using GP to explore the space of features useful in a classification taskhttp://portal.acm.org/citation.cfm?id=15700403/1/2011

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JNB, SK, MJQ, JBS, EBGenetic Programming: An Introduction and Tutorial, with a Survey of techniques and Applications, William B. Langdon and Riccardo Poli and Nicholas F. McPhee and John R. Koza, in Computational Intelligence: A Compendium, John Fulcher and Lakhmi C. Jain (editors), Chapter 22, pages 927-1028.Julian: Good recent GP intro/tutorial by all the right people. It's a book chapter so too long to read "on the day" :)http://www.essex.ac.uk/csee/research/publications/technicalreports/2007/ces475.pdf11/24/2009

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IVK, JNB, JBS, EB, BCSHarding, S., Miller, J. F., and Banzhaf, W. (2010). "Developments in Cartesian Genetic Programming: self-modifying CGP". Genetic Programming and Evolvable Machines 11, 3-4 (Sep. 2010), 397-439.Julian: latest most powerful version of CGP also evolves algorithmshttp://www.google.com/url?sa=t&source=web&cd=1&sqi=2&ved=0CBsQFjAA&url=http%3A%2F%2Fwww.evolutioninmaterio.com%2Fpreprints%2Fsmcgpjournal.pdf&rct=j&q=developments%20in%20cartesian%20genetic%20programming&ei=P7yBTO36LcXunQfBnd3GAQ&usg=AFQjCNGaUkkOY4hZB-owKoGS2I3RATEkfw&sig2=bkiGYz71NWpLKB0mAW53IQ&cad=rja9/22/2010

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these are reference for the Harding, Miller, and Banzhaf (2010)Miller, J.F., Thomson, P. (2000). "Cartesian Genetic Programming", Proceedings of the 3rd European Conference on Genetic Programming, Edinburgh, April 15-16, 2000, Proceedings published as Lecture Notes in Computer Science, Vol. 1802, pp. 121-132, Springer Verlag, Berlin.Julian: Introduction to CGPhttp://www.cartesiangp.co.uk/papers/2000/mteurogp2000.pdf

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these are reference for the Harding, Miller, and Banzhaf (2010)J. A. Walker and J. F. Miller, Evolution and Acquisition of Modules in Cartesian Genetic Programming, Genetic Programming 7th European Conference, EuroGP 2004, Proceedings, LNCS, Vol. 3003, pp. 187-197 (Nominated Best Paper). Julian: CGP evolves modules and reuses them to speed evolutionary search. Got a best paper nomination.http://www.google.com/url?sa=t&source=web&cd=1&ved=0CBcQFjAA&url=http%3A%2F%2Fciteseerx.ist.psu.edu%2Fviewdoc%2Fdownload%3Fdoi%3D10.1.1.100.9942%26rep%3Drep1%26type%3Dpdf&ei=N5UYTIPrJYG88gaL49DpDA&usg=AFQjCNE9XysoSsgyrB_yf0kW1c2S-sagpQ&sig2=xglHR7GSNri27owNJCC-WA

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JNBSpector, L., Klein, J., Keijzer, M. (2005). "The Push3 execution stack and the evolution of control". In Proceedings of the 2005 conference on Genetic and evolutionary computation (GECCO '05)Julian: Stack-based evolvable programshttp://faculty.hampshire.edu/lspector/pubs/push3-gecco2005.pdf11/15/20129/17/2013 17:50:10

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JNBSpector, L., Harrington, K., Helmuth, T. (2012). "Tag-based modularity in tree-based genetic programming". In Proceedings of the fourteenth international conference on Genetic and evolutionary computation conference, Pages 815-822, ACM New York, NY, USA ©2012.Julian: Using tags as a way to encourage the use of subroutines in GPhttp://faculty.hampshire.edu/lspector/pubs/p815.pdf1/24/20139/17/2013 17:55:16

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JNBJames McDermott, David R. White, Sean Luke, Luca Manzoni, Mauro Castelli, Leonardo Vanneschi, Wojciech Jaskowski, Krzysztof Krawiec, Robin Harper, Kenneth De Jong, and Una-May O'Reilly. 2012. Genetic programming needs better benchmarks. In Proceedings of the fourteenth international conference on Genetic and evolutionary computation conference(GECCO '12), Terence Soule (Ed.). ACM, New York, NY, USA, 791-798.Julian: So where are the benchmarks?
http://gpbenchmarks.org/wp-content/uploads/2012/08/gpbenchmarks-GECCO2012.pdf
2/14/20139/17/2013 17:58:24

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Genetic Based Machine Learning

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JNB,JBS,BCS,VKV, EBSigaud, O. and Wilson, S.W. (2007). "Learning classifier systems: A survey", Soft Computing, vol. 11, no. 11, September, 2007, pp. 1065-1078 Julian: nice LCS surveyhttp://www.eskimo.com/~wilson/ps/lcs-survey2007.pdf10/20/2009

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Coevolution

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JBS, IVK, BCS, VKV, MJQ, EBMin Shi. (2008). "An Empirical Comparison of Evolution and Coevolution for Designing Artificial Neural Network Game Players". In GECCO-2008: Proceedings of the Genetic and Evolutionary Computation Conference. ACM Press.Julian: compares NE, NEAT, ESP, SANE and more. Won best paper.http://portal.acm.org/citation.cfm?id=13891644/22/2010

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Evolutionary Strategies / Evolutionary Programming

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MJQ, EB, BCSBäck, T.; Hoffmeister, F.; and Schwefel, H.-P. 1991. A survey of evolution strategies. ICGA 2–9.Jacob: Good introduction to EShttp://www.cs.utexas.edu/~schrum2/temp/ES.pdf11/24/2010

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BCS, JNB, EAF, WTNikolaus Hansen. "The CMA evolution strategy: a comparing review". Studies in Fuzziness and Soft Computing, 2006.Bryan: review of CMA-ES, with comparisons and connections to EDAs, etc.http://www.lri.fr/~hansen/hansenedacomparing.pdf5/4/2011

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Generative and Developmental Systems

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EB, JBS, EAF, JNBPhillip Verbancsics and Kenneth O. Stanley. 2011. Constraining connectivity to encourage modularity in HyperNEAT. In Proceedings of the 13th annual conference on Genetic and evolutionary computation (GECCO '11)Igor: modular CPPNshttp://dl.acm.org.ezproxy.lib.utexas.edu/citation.cfm?id=2001576.20017769/21/2011

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JNB, JBS, IVKGauci, J., Stanley, K.O. (2008). "A Case Study on the Critical Role of Geometric Regularity in Machine Learning", In: Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence (AAAI-2008). Menlo Park, CA: AAAI PressJulian: HyperNEAT learns to play checkershttp://eplex.cs.ucf.edu/papers/gauci_aaai08.pdf9/7/2011

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JNBFerreira, C. (2001). "Gene Expression Programming: A New Adaptive Algorithm for Solving Problems." Complex Systems, Vol. 13, issue 2: 87-129.Julian: seminal paper on GEP - indirect encoding of GP trees in linear formhttp://www.gene-expression-programming.com/webpapers/gep.pdf4/19/2011

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JNB, IVK, MJQ, VKVD'Ambrosio, D.B., Stanley, K.O., (2008). "Generative Encoding for Multiagent Learning", In: Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2008). New York, NY: ACM, 2008 (8 pages)Julian: HyperNEAT / CPPNs applied to a Predator-Prey task. Won best paper.http://eplex.cs.ucf.edu/papers/dambrosio_gecco08.pdf4/8/2010

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IVK, EB, JBS, JNBSebastian Risi and Kenneth O. Stanley. 2011. Enhancing ES-HyperNEAT to Evolve More Complex Regular Neural Networks. In Proceedings of the 13th annual conference on Genetic and evolutionary computation (GECCO '11)Igor: the latest ES-HyperNEAT best paper nominee. Bryan: the latest HyperNEAT work... using ES. Heresy?http://dl.acm.org.ezproxy.lib.utexas.edu/citation.cfm?id=2001576.200178310/19/2011

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earlier version of the work in Risi and Stanley (2011)Risi, S., Lehman, J., Stanley, K. O. (2010). "Evolving the placement and density of neurons in the hyperneat substrate". In Proceedings of the 12th Annual Conference on Genetic and Evolutionary Computation (Portland, Oregon, USA, July 07 - 11, 2010). GECCO '10. ACM, New York, NY, 563-570.Julian: getting HyperNEAT to configure its own substrate. Won best paper (I saw this - it was great)http://www.google.com/url?sa=t&source=web&cd=1&ved=0CBIQFjAA&url=http%3A%2F%2Feplex.cs.ucf.edu%2Fpapers%2Frisi_gecco10.pdf&rct=j&q=evolving%20the%20placement%20and%20density%20of%20neurons%20in%20the%20hyperneat%20substrate&ei=8rWBTJCuL8OBlAe5vK3bDw&usg=AFQjCNFXjda6oM40cY5llF_FvPXyB5efJw&sig2=BYMs9IeN-5CV75X9D9xYqg&cad=rja

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IVK, JBS, EB, WT, EAFL. Georgiou and W. J. Teahan. Constituent Grammatical Evolution. In Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence (IJCAI-2011), Barcelona, Spain, July 2011.Igor: a new algorithm based on grammatical evolution that beats existing GE methods on benchmark problemshttp://ijcai.org/papers11/Papers/IJCAI11-214.pdf11/30/20119/17/2013 17:28:34

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Novelty Search

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IVK, BCS, JBS, EAF, EBBrian G. Woolley and Kenneth O. Stanley. 2011. On the deleterious effects of a priori objectives on evolution and representation. In Proceedings of the 13th annual conference on Genetic and evolutionary computation (GECCO '11)Igor: basically a position paper on why we shouldn't use objectives when evolvinghttp://dl.acm.org.ezproxy.lib.utexas.edu/citation.cfm?id=2001576.200170710/5/2011

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IVK, BCS, JBS, AR, EB, EAFSteijn Kistemaker and Shimon Whiteson. 2011. Critical factors in the performance of novelty search. In Proceedings of the 13th annual conference on Genetic and evolutionary computation (GECCO '11)Igor: how does novelty search actually work? Kind of a counter-argument to Woolley and Stanleyhttp://dl.acm.org.ezproxy.lib.utexas.edu/citation.cfm?id=2001576.200170810/12/2011

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IVK, JBS, EB, WTJoel Lehman and Kenneth O. Stanley. 2011. Evolving a diversity of virtual creatures through novelty search and local competition. In Proceedings of the 13th annual conference on Genetic and evolutionary computation (GECCO '11)Igor: virtual creatures diversity.http://dl.acm.org.ezproxy.lib.utexas.edu/citation.cfm?id=2001576.20016069/2/2011

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Artificial Life

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JBS, IVK, EB, MJH, MJQSebastian Risi, Sandy D. Vanderbleek, Charles E. Hughes and Kenneth O. Stanley (2009). "How Novelty Search Escapes the Deceptive Trap of Learning to Learn" In GECCO-2009: Proceedings of the Genetic and Evolutionary Computation Conference. ACM Press.Julian: Cool Neuro-Evolution. Won best paper in ALife track.http://eplex.cs.ucf.edu/papers/risi_gecco09.pdf10/6/2010

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IVK, JBS, AR, EB, EAFBen Jones, Andrea Soltoggio, Bernhard Sendhoff, and Xin Yao. 2011. Evolution of neural symmetry and its coupled alignment to body plan morphology. In Proceedings of the 13th annual conference on Genetic and evolutionary computation (GECCO '11)Igor: best paper nominee in A-life/Robotics/Hardware trackhttp://dl.acm.org.ezproxy.lib.utexas.edu/citation.cfm?id=2001576.200160911/9/2011

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Applications of Evolutionary Computation

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MJQ, IVK, JBS, EBDavid-Tabibi, O, van den Herik, H.J., Koppel, M., Netanyahu, N.S. (2009). "Simulating Human Grandmasters: Evolution and Coevolution of Evaluation Functions". In GECCO-2009: Proceedings of the Genetic and Evolutionary Computation Conference. ACM Press.Julian: what you can do if you already have an expert playerhttp://www.omiddavid.com/pubs/gm-simul.pdf4/14/2011

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IVK,BCS,EBDirk Gorissen, Tom Dhaene, Filip De Turck (2009). Evolutionary Model Type Selection for Global Surrogate Modeling. JMLR 10(Sep):2039--2078.Igor: an interesting application that uses a genetic algorithm to answer the question "Which approximation method is best for my data?"http://jmlr.csail.mit.edu/papers/volume10/gorissen09a/gorissen09a.pdf2/4/2010

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Estimation of Distribution Algorithms

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Evolutionary Multi-objective Optimization

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VKV, IVK, MJQ, BCS, JNBDeb, K.; Agrawal, S.; Pratab, A.; and Meyarivan, T. 2000. A Fast Elitist Non-Dominated Sorting Genetic Algorithm for Multi-Objective Optimization: NSGA-II. PPSN 849–858.Jacob: Original NSGA-II paper, a popular multiobjective EAhttp://vision.ucsd.edu/~sagarwal/nsga2.pdf11/10/2009

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JBS, EB, WT, BCSDimo Brockhoff, Tobias Friedrich, Nils Hebbinghaus, Christian Klein, Frank Neumann, and Eckart Zitzler. 2007. Do additional objectives make a problem harder?. In Proceedings of the 9th annual conference on Genetic and evolutionary computation (GECCO '07). ACM, New York, NY, USA, 765-772.Jacob: extra objectives sometimes help.http://portal.acm.org.ezproxy.lib.utexas.edu/citation.cfm?id=1276958.12771143/29/201110/16/2012 11:05:44

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Other

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BCS, IVK,VKV,EB,JNBYi, S., Wierstra, D., Schaul, T., Schmidhuber, J. (2009) "Stochastic Search using the Natural Gradient", In: Proceedings of the 26th Annual International Conference on Machine Learning (ICML '09).Bryan: search scheme from the IDSIA folks.http://doi.acm.org/10.1145/1553374.15535223/11/2010

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BCS, JBS. JNBDirk Thierens. "An Adaptive Pursuit Strategy for Allocating Operator Probabilities". GECCO 2005.Bryan: why shouldn't you apply helpful operators more often?http://portal.acm.org.ezproxy.lib.utexas.edu/citation.cfm?id=1068009.106825111/4/2010

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BCS, JBS, JNBS. K. Smit and A. E. Eiben. "Comparing Parameter Tuning Methods for Evolutionary Algorithms". CEC 2009.Bryan: does automatic tuning buy you anything?http://www.cs.vu.nl/~gusz/papers/2009-CEC-tuning-methods.pdf11/16/2011

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IVK, BCS, EB, WT, JNBIlya Loshchilov, Marc Schoenauer, and Michèle Sebag. 2011. Adaptive coordinate descent. In Proceedings of the 13th annual conference on Genetic and evolutionary computation (GECCO '11)Igor: why use fancy CMA-ES methods if coordinate descent with adaptive encoding works just as well?http://dl.acm.org.ezproxy.lib.utexas.edu/citation.cfm?id=2001576.20016972/23/201110/16/2012 11:04:13