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3AR, JBS, WTMouret, J.-B. and Doncieux, S. (2009). Overcoming the bootstrap problem in evolutionary robotics using behavioral diversity.
IEEE Congress on Evolutionary Computation, 2009 (CEC 2009).
Jacob: Mouret's rival to novelty search using multiobjectivizationhttp://www.isir.upmc.fr/files/2009ACTI951.pdf9/1/2011

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3JNB, JBS, SBBenbassat, A., Sipper, M. (2013). "EvoMCTS: Enhancing MCTS-Based Players through Genetic Programming". In Proceedings of the IEEE Conference on Computational Intelligence and Games (CIG 2013).Julian: Combines GP with Monte Carlo Tree Search in board games.http://eldar.mathstat.uoguelph.ca/dashlock/CIG2013/papers/paper_5.pdf9/22/2013

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3JNB, JBS, SBAlhejali, A., Lucas, S. (2013). "Using Genetic Programming to Evolve Heuristics for a Monte-Carlo Tree Search Ms Pac-Man Agent". In Proceedings of the IEEE Conference on Computational Intelligence and Games (CIG 2013).Julian: Combines GP with Monte Carlo Tree Search in video games.http://eldar.mathstat.uoguelph.ca/dashlock/CIG2013/papers/paper_60.pdf9/22/2013

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3RM, AR, JBSSolomon, M., Heckendorn, R.B., Soule, T. (2012). "A Comparison of Communication Strategies in Cooperative Learning". In Proceedings of the 14th annual conference on Genetic and evolutionary computation (GECCO '12)Risto: why is a flagbearer (i.e. someone everyone listens to) necessary
for evolution? (This is essential reading for the NIH hyena project)
http://marvin.cs.uidaho.edu/Research/solomon-heckendorn-soule-hyenas.pdf9/22/2013

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2JBS, ARJae-Yoon Jung, James A. Reggia. (2009). "Evolving an Autonomous Agent for non-Markovian Reinforcement Learning". In GECCO-2009: Proceedings of the Genetic and Evolutionary Computation Conference. ACM Press.Julian: Nested evolution in which each step of one EA involves running another EA. Evolves a foraging agent.http://portal.acm.org.ezproxy.lib.utexas.edu/citation.cfm?id=1569901.15700345/12/2010

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2JBS, WTSylvain Koos, Jean-Baptiste Mouret, Stéphane Doncieux. Crossing the Reality Gap in Evolutionary Robotics by Promoting Transferable Controllers. GECCO 2010Jacob: Using a "transferability" objective to evolve robot controllers in simulation that actually work on the real thingwww.isir.upmc.fr/files/2010ACTI1527.pdf7/11/2010

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2JBS, WTAlan J. Lockett and Risto Miikkulainen. 2011. Real-space evolutionary annealing. In Proceedings of the 13th annual conference on Genetic and evolutionary computation (GECCO '11)Igor: Alan's paper - should try to read w Alan presenthttp://dl.acm.org.ezproxy.lib.utexas.edu/citation.cfm?id=2001576.20017359/2/2011

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2JNB, JBSHoward, G.D., Bull, L., Lanzi, P-L. (2008). "Self-Adaptive Constructivism in Neural XCS and XCSF". In GECCO-2008: Proceedings of the Genetic and Evolutionary Computation Conference. ACM Press.Julian: Self-adaptive XCS evolving a population of Neural Networks instead of a rule-sethttp://portal.acm.org.ezproxy.lib.utexas.edu/citation.cfm?id=13893645/12/2010

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2JBS, WTService, T., Tauritz, D. (2008). "A No-Free-Lunch Framework for Coevolution". In GECCO-2008: Proceedings of the Genetic and Evolutionary Computation Conference. ACM Press.Julian: claims that Coevolution CAN have a free lunchhttp://portal.acm.org.ezproxy.lib.utexas.edu/citation.cfm?id=13891635/12/2010

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2JNB, JBSJason Gauci and Kenneth O. Stanley (2010). Indirect Encoding of Neural Networks for Scalable Go. In: Proceedings of the 11th International Conference on Parallel Problem Solving From Nature (PPSN-2010, Kraków). New York, NY: Springer.Julian: HyperNEAT playing Gohttp://eplex.cs.ucf.edu/papers/gauci_ppsn10.pdf4/14/2011

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2JBS, WTJoshua Auerbach, Josh Bongard (2010) "Evolving CPPNs to Grow Three-Dimensional Physical Structures" GECCO 2010Jacob: Evolving bodies made of connected spheres using HyperNEAThttp://www.cs.uvm.edu/~jbongard/papers/2010_GECCO_Auerbach.pdf9/1/2010

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2JBS, WTPaul Tonelli and Jean-Baptiste Mouret. 2011. On the relationships between synaptic plasticity and generative systems. In Proceedings of the 13th annual conference on Genetic and evolutionary computation (GECCO '11)Igor: talks about how evolving ANNs with plasticity is related to other GDS. Best paper in GDS trackhttp://dl.acm.org.ezproxy.lib.utexas.edu/citation.cfm?id=2001576.20017829/1/2011

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2WT, JBSClune J, Ofria C, and Pennock RT (2008) How a generative encoding fares as problem-regularity decreases. Proceedings of the 10th International Conference on Parallel Problem Solving From Nature. 358-367. Dortmund, Germany.Wesley: evaluates HyperNEAT in various domain conditions, finds the point where NEAT outperforms HyperNEAT and addresses how HyperNEAT performs in the presence of regularity exceptionshttps://www.msu.edu/~jclune/webfiles/publications/Clune-HyperNEATandRegularity.pdf9/7/2011

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2SB, JBSThomas van den Berg and Shimon Whiteson. Critical Factors in the Performance of HyperNEAT. In GECCO 2013: Proceedings of the Genetic and Evolutionary Computation Conference, pp. 759–766, July 2013.Sam: A paper critiquing HypeNeat by Shimon that appeared in Gecco. It created some amount of controversy I believe.http://staff.science.uva.nl/~whiteson/pubs/b2hd-vandenberggecco13.html9/23/2013

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2JBS, WTJoshua Rubini, Robert B Heckendorn, Terence Soule. (2009). "Evolution of Team Composition in Multi-Agent Systems". In GECCO-2009: Proceedings of the Genetic and Evolutionary Computation Conference. ACM Press.Julian: OET algorithm (Orthogonal Evolution of Teams)http://portal.acm.org.ezproxy.lib.utexas.edu/citation.cfm?id=15700455/12/2010

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2JBS, WTBeckmann, B.E., McKinley, P.K., Ofria, C. (2008). "Selection for Group-Level Efficiency Leads to Self-Regulation of Population Size". In: Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2008). New York, NY: ACM, 2008Julian: interesting AL result from the Michigan State guyshttp://portal.acm.org.ezproxy.lib.utexas.edu/citation.cfm?id=13891265/12/2010

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2JL, JBSEvert Haasdijk, Berend Weel, and A. E. Eiben. 2013. Right on the MONEE: combining task- and environment-driven evolution. In Proceeding of the fifteenth annual conference on Genetic and evolutionary computation conference (GECCO '13)Joel: Interesting bidding-based algorithm for online open-endedish evolutionhttp://dl.acm.org/citation.cfm?doid=2463372.24633969/20/2013

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2WT, JBSIgor Vatolkin, Mike Preuß, and Günter Rudolph. 2011. Multi-objective feature selection in music genre and style recognition tasks. In Proceedings of the 13th annual conference on Genetic and evolutionary computation (GECCO '11)Igor: feature selection for music. MO as well.http://dl.acm.org.ezproxy.lib.utexas.edu/citation.cfm?id=2001576.20016339/2/2011

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2JBS, WTHisashi Handa. (2009). "EDA-RL: Estimation of Distribution Algorithms for Reinforcement Learning Problems". In GECCO-2009: Proceedings of the Genetic and Evolutionary Computation Conference. ACM Press.Julian: EDA for RL. Won best paper.http://portal.acm.org.ezproxy.lib.utexas.edu/citation.cfm?id=1569901.15699585/12/2010

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2JBS, WTKalyanmoy Deb, Amit Saha. "Finding Multiple Solutions for Multimodal Optimization Problems Using a Multi-Objective Evolutionary Approach". In GECCO 2010Jacob: Using EMO to solve single objective problems with many desirable optima (multimodal)http://portal.acm.org.ezproxy.lib.utexas.edu/citation.cfm?id=1830483.1830568&coll=portal&dl=GUIDE7/11/2010

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2JBS, WTK. Bringmann, T. Friedrich, F. Neumann, and M. Wagner. Approximation-guided evolutionary multi- objective optimization. In Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence (IJCAI-2011), pages 1198–1203, Barcelona, Spain, July 2011.An EMO algorithm that beats the standard EMO algorithms along various metrics by approximating them as it goeswww.mpi-inf.mpg.de/~tfried/paper/2011IJCAI_AGE.pdf7/22/2011

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2JBS, WTZeng, Fanchao; Decraene, James; Low, Malcolm Yoke Hean; Cai, Wentong; Hingston, Philip; , "Studies on Pareto-based multi-objective competitive coevolutionary dynamics," Evolutionary Computation (CEC), 2011 IEEE Congress on , vol., no., pp.2383-2390, 5-8 June 2011Jacob: Use of multiobjective optimization + coevolutionhttp://ieeexplore.ieee.org.ezproxy.lib.utexas.edu/xpls/abs_all.jsp?arnumber=59499128/23/2011

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2WT, JBSEvan James Hughes. 2011. Many-objective directed evolutionary line search. In Proceedings of the 13th annual conference on Genetic and evolutionary computation (GECCO '11)Igor: best paper nominee in MO trackhttp://dl.acm.org.ezproxy.lib.utexas.edu/citation.cfm?id=2001576.20016809/1/2011

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2MJH, WTRubinstein, R. (1997) "Optimization of computer simulation models with rare events", European Journal of Operational Research.Bryan: the original paper on the cross-entropy method (CEM).http://dx.doi.org/10.1016/S0377-2217(96)00385-25/12/2010

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2WT, JBSCarlos Ansotegui Gil, Meinolf Sellmann, and Kevin Tierney. "A Gender-Based Genetic Algorithm for the Automatic Configuration of Algorithms", CP 2011.Bryan: configuring algorithms using a novel GA.http://www.cs.brown.edu/~sello/PAPER/cp09-gbac.pdf7/22/2011

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1JBSAmy K. Hoover, Paul A. Szerlip and Kenneth O. Stanley. Interactively Evolving Harmonies Through Functional Scaffolding. GECCO 2011.Igor: CPPNs produce musical accompaniments, best paper in Digital Entertainment trackhttp://dl.acm.org.ezproxy.lib.utexas.edu/citation.cfm?id=2001576.20016309/1/2011

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1JBSJosh C. Bongard. 2011. Spontaneous evolution of structural modularity in robot neural network controllers: artificial life/robotics/evolvable hardware. In Proceedings of the 13th annual conference on Genetic and evolutionary computation (GECCO '11)Igor: best paper in A-life/Robotics/Hardware trackhttp://dl.acm.org.ezproxy.lib.utexas.edu/citation.cfm?id=2001576.20016119/1/2011

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1JBSDoncieux, S. and Mouret, J.-B. (2010). Behavioral diversity measures for Evolutionary Robotics.
WCCI 2010 IEEE World Congress on Computational Intelligence, Congress on Evolutionary Computation (CEC). Pages 1303--1310.
Jacob: More work on behavioral diversity: Trying domain independent measureshttp://www.isir.upmc.fr/files/2010ACTI1525.pdf9/1/2011

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1JBSSnel, M. and Whiteson, S. 2010. Multi-task evolutionary shaping without pre-specified representations. 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, 1031-1038.Julian: should be of particular interest to the RL folkshttp://staff.science.uva.nl/~whiteson/pubs/b2hd-snelgecco10.html9/3/2010

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1JBSChad M. Byers, Betty H.C. Cheng, and Philip K. McKinley. 2011. Digital enzymes: agents of reaction inside robotic controllers for the foraging problem. 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=2001576.20016109/1/2011

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1JBSSmith, R.E. (1994). "Genetic and Evolutionary Systems" In: Chen, S-S., Caulfield H.J. (eds), Adaptive Computing: Mathematics, Electronics, and Optics vol CR55 pp. 150-174Julian: Old but good intro to GA theoryhttp://www.cs.uga.edu/~potter/CompIntell/rsmith.ps5/12/2010

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1JBSStonedahl, F., Rand, W., Wilensky, U. (2008). "CrossNet: A Framework for Crossover with Network-based Chromosomal Representations". In GECCO-2008: Proceedings of the Genetic and Evolutionary Computation Conference. ACM Press.Julian: Attempts to improve gene-linkage using a graph-based chromosomehttp://ccl.northwestern.edu/papers/2008/Stonedahl,Rand,&Wilensky_Crossnet.pdf5/12/2010

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1JBSPoli, R., McPhee, N.F. (2008). "Parsimony Pressure Made Easy". In GECCO-2008: Proceedings of the Genetic and Evolutionary Computation Conference. ACM Press.Julian: combating program bloat is an important issue in GP. Won Best paper.http://portal.acm.org.ezproxy.lib.utexas.edu/citation.cfm?id=13893405/12/2010

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1JNBStephanie Forrest, Westley Weimer, ThanhVu Nguyen, Claire Le Goues. A Genetic Programming Approach to Automated Software Repair. Genetic and Evolutionary Computing Conference (GECCO) 2009: 947-954Julian: GP fixes bugs in real programs. Won best paper and a HUMIES gold medal (for being human competitive)http://www.cs.virginia.edu/~weimer/p/weimer-gecco2009.pdf9/3/2010

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1JNBSchmidt, M. D., Lipson, H. (2010). "Predicting solution rank to improve performance". 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, 949-956.Julian: this was a GP paper but it seems like it could have broad applicability across other EAshttp://portal.acm.org.ezproxy.lib.utexas.edu/ft_gateway.cfm?id=1830652&type=pdf9/3/2010

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1JBSHoward, G. & Bull, L. (2009) Towards Continuous Actions in Continuous Space and Time using Self-Adaptive Constructivism in Neural XCSF. In GECCO-2009: Proceedings of the Genetic and Evolutionary Computation Conference. ACM Press.Julian: continuing work from above paperhttp://portal.acm.org.ezproxy.lib.utexas.edu/citation.cfm?id=15700655/12/2010

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1JBSCharalambos Ioannides, Geoff Barrett, and Kerstin Eder. 2011. XCS cannot learn all boolean functions. In Proceedings of the 13th annual conference on Genetic and evolutionary computation (GECCO '11)Igor: a potentially interesting negative result about what XFC can and cannot learn. Best paper nominee.http://dl.acm.org.ezproxy.lib.utexas.edu/citation.cfm?id=2001576.20017499/3/2011

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1JBSMitchell, M., Thomure, M.D., Williams, N.L. (2006). The Role of Space in the Success of Coevolutionary Learning. In Proceedings of ALIFE X—The Tenth International Conference on the Simulation and Synthesis of Living Systems, 2006.Erkin: Effect of spatial distribution of populations in coevolution on function induction and cellular automata tasks.http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.136.49911/20/2010

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1JBSLuis Zaman, Suhas Devangam, and Charles Ofria. 2011. Rapid host-parasite coevolution drives the production and maintenance of diversity in digital organisms. In Proceedings of the 13th annual conference on Genetic and evolutionary computation (GECCO '11)Igor: diversity through host-parasite coevolution (in Avida). A BEACON paperhttp://dl.acm.org.ezproxy.lib.utexas.edu/citation.cfm?id=2001576.20016079/2/2011

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1WTSpyridon Samothrakis and Simon Lucas. 2011. Approximating n-player behavioural strategy nash equilibria using coevolution. In Proceedings of the 13th annual conference on Genetic and evolutionary computation (GECCO '11)Igor: coevolution of Nash equilibria in n-player games
Wesley: If this paper does what it claims, it is a HUGE result!
http://dl.acm.org.ezproxy.lib.utexas.edu/citation.cfm?id=2001576.20017269/2/2011

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1JBSSamothrakis, S.; Lucas, S.; Runarsson, T.P.; Robles, D., "Coevolving Game-Playing Agents: Measuring Performance and Intransitivities," Evolutionary Computation, IEEE Transactions on , vol.17, no.2, pp.213,226, April 2013Jacob: coevolution in Othellohttp://davidrobles.s3.amazonaws.com/publications/samothrakis-coev-2012.pdf11/2/2013

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1JBSD'Ambrosio, D.B.; Lehman, J.; Risi, S.; Stanley, K.O., "Task switching in multirobot learning through indirect encoding," Intelligent Robots and Systems (IROS), 2011 IEEE/RSJ International Conference on , vol., no., pp.2802,2809, 25-30 Sept. 2011Jacob: HyperNEAT on real robots? Joel was a co-author, so he can answer any questions we have.http://eplex.cs.ucf.edu/papers/dambrosio_iros11.pdf11/2/2013

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1JBSGiuseppe Cuccu and Faustino Gomez (2011). When Novelty is Not Enough. In Proceedings of Evostar 2011 (Turin, Italy).Jacob: Direct attack on Novelty search by Gomez.http://www.idsia.ch/~tino/papers/cuccu.evostar11.pdf1/24/2012

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1JBSBornhofen, S., Lattaud, C. (2008). "On Hopeful Monsters, Neutral Networks and Junk Code in Evolving L-Systems". In: Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2008). New York, NY: ACM, 2008Julian: a cool paper that caught my eye at the conference.http://portal.acm.org.ezproxy.lib.utexas.edu/citation.cfm?id=13891275/12/2010

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1JLWei Li, Melvin Gauci, and Roderich Gross. 2013. A coevolutionary approach to learn animal behavior through controlled interaction. In Proceeding of the fifteenth annual conference on Genetic and evolutionary computation conference (GECCO '13Joel: Interesting co-evolutionary approach proposed in context of animal learning but maybe useful elsewhere; e.g. to increase robustness of evolved robot policies etc.http://dl.acm.org/citation.cfm?doid=2463372.24658019/20/2013

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1JBSLiapis, A., Martinez, H.P., Togelius, J., Yannakakis, G.N. (2013) "Adaptive Game Level Creation through Rank-based Interactive Evolution". In Proceedings of the IEEE Conference on Computational Intelligence and Games (CIG 2013).Julian: Designing game levels is a lot of work so evolve them.http://eldar.mathstat.uoguelph.ca/dashlock/CIG2013/papers/paper_76.pdf9/22/2013

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1JBSShaker, M., Sarhan, M.H., Naameh, O.A., Shaker, N., Togelius, J. (2013). "Automatic Generation and Analysis of Physics-Based Puzzle Games". In Proceedings of the IEEE Conference on Computational Intelligence and Games (CIG 2013).Julian: Hell, why not evolve the whole game?http://eldar.mathstat.uoguelph.ca/dashlock/CIG2013/papers/paper_52.pdf9/22/2013

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1JBSBallinger, C., Louis, S. (2013). "Finding Robust Strategies to Defeat Specific Opponents Using Case-Injected Coevolution". In Proceedings of the IEEE Conference on Computational Intelligence and Games (CIG 2013).Julian: Coevolve player strategies.http://eldar.mathstat.uoguelph.ca/dashlock/CIG2013/papers/paper_81.pdf9/22/2013

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1WTErick Cantú-Paz, Martin Pelikan, and David E. Goldberg. (1999). "BOA: The Bayesian Optimization Algorithm".Bryan: a representative EDA.http://www.illigal.uiuc.edu/hboa/boa.pdf5/12/2010

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1JBSK. Deb, J. Sundar, U. Rao, S. Chaudhuri "Reference Point Based Multi-Objective Optimization Using Evolutionary Algorithms." International Journal of Computational Intelligence Research 3:2 pp 273-286 (2006).Jacob: Doing EMO search with some particular preferences in mind.http://www.google.com/url?sa=t&source=web&cd=1&ved=0CBgQFjAA&url=http%3A%2F%2Fciteseerx.ist.psu.edu%2Fviewdoc%2Fdownload%3Fdoi%3D10.1.1.81.4441%26rep%3Drep1%26type%3Dpdf&ei=qmc5TMaHE8LTngfskdX6BQ&usg=AFQjCNE_NG05zyh9oAB_oJyDuAR-01xpXg&sig2=ECg9YNq30a2NgAUGfvjOzQ7/11/2010

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1JBSMatthew Studley, Larry Bull. Using the XCS Classifier System for Multi-objective Reinforcement Learning Problems. In Artificial Life, Winter 2007, Vol. 13, No. 1, Pages 69-86Learning Classifier Systems plus multiobjective optimization for RL problems.http://www.mitpressjournals.org.ezproxy.lib.utexas.edu/doi/abs/10.1162/artl.2007.13.1.699/1/2011

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1JBSKarl Bringmann and Tobias Friedrich. 2011. Convergence of hypervolume-based archiving algorithms I: effectiveness. In Proceedings of the 13th annual conference on Genetic and evolutionary computation (GECCO '11)Igor: best paper nominee in MO trackhttp://dl.acm.org.ezproxy.lib.utexas.edu/citation.cfm?id=2001576.20016789/1/2011

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1JBSChao Qian, Yang Yu, and Zhi-Hua Zhou. 2011. An analysis on recombination in multi-objective evolutionary optimization. In Proceedings of the 13th annual conference on Genetic and evolutionary computation (GECCO '11)Igor: theory of recombination in MO. Best paper in Theory track.http://dl.acm.org.ezproxy.lib.utexas.edu/citation.cfm?id=2001576.20018529/1/2011

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1JBSFrank Neumann, Dirk Sudholt and Carsten Witt (2010) "A Few Ants Are Enough: ACO with Iteration-Best Update", GECCO 2010.Jacob: Best paper nominee for ACO at GECCO 2010http://portal.acm.org.ezproxy.lib.utexas.edu/citation.cfm?id=18304939/1/2010

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1JLMichael E. Palmer. 2013. Gene networks have a predictive long-term fitness. In Proceeding of the fifteenth annual conference on Genetic and evolutionary computation conference (GECCO '13)Joel: This was thought-provoking, I didn't agree with it, but don't exactly remember whyhttp://dl.acm.org/citation.cfm?doid=2463372.24634679/20/2013

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0Luigi Cardamone, Daniele Loiacono, Pier Luca Lanzi. (2009). "Evolving Competitive Car Controllers for Racing Games with Neuroevolution". In GECCO-2009: Proceedings of the Genetic and Evolutionary Computation Conference. ACM Press.Julian: NEAT evolves video-game car drivershttp://portal.acm.org.ezproxy.lib.utexas.edu/citation.cfm?id=15700605/12/2010

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0Kassahun, Y., Schwendner, J., de Gea, J., Edgington, M., Kirchner, F. (2009). "Learning Complex Robot Control Using Evolutionary Behavior Based Systems". In GECCO-2009: Proceedings of the Genetic and Evolutionary Computation Conference. ACM Press.Julian: Learns to control a quadrocopter flying vehiclehttp://portal.acm.org.ezproxy.lib.utexas.edu/citation.cfm?id=15699205/12/2010

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0Salichon, M., Tumer, K. (2010). "A neuro-evolutionary approach to micro aerial vehicle control". 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, 1123-1130.Julian: An evolved ANN controller out performs a traditional PID controller for flying a tiny vehiclehttp://portal.acm.org.ezproxy.lib.utexas.edu/ft_gateway.cfm?id=1830692&type=pdf9/3/2010

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0Preen, R. & Bull, L. (2009) Discrete Dynamical Genetic Programming in XCS. In GECCO-2009: Proceedings of the Genetic and Evolutionary Computation Conference. ACM Press.Julian: Evolving a population of asynchronous random boolean networks inside the well known Learning Classifier System XCShttp://portal.acm.org.ezproxy.lib.utexas.edu/citation.cfm?id=15700755/12/2010

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0Arthur Carvalho. 2011. A cooperative coevolutionary genetic algorithm for learning bayesian network structures. In Proceedings of the 13th annual conference on Genetic and evolutionary computation (GECCO '11)Igor: coevolution for structure search.http://dl.acm.org.ezproxy.lib.utexas.edu/citation.cfm?id=2001576.20017299/2/2011

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0Phillip Verbancsics and Kenneth O. Stanley (2010)
"Transfer Learning through Indirect Encoding"
in: Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2010). New York, NY:ACM
Jacob: HyperNEAT to get the best KeepAway times yet, plus the controller transfers to more players without extra training.eplex.cs.ucf.edu/papers/verbancsics_gecco10.pdf9/1/2011

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0Clune J, Beckmann BE, McKinley PK, and Ofria C (2010) Investigating whether HyperNEAT produces modular neural networks. GECCO 2010Jacob: Checks to see if HyperNEAT delivers on some of the promises of indirect encodinghttps://www.msu.edu/~jclune/webfiles/publications/Clune-ModularityInHyperNEAT-Gecco2010.pdf9/17/2013

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0Schmidt M., Lipson H. (2009) "Distilling Free-Form Natural Laws from Experimental Data," Science.Bryan: paper out of Hod's group that got a bunch of press.http://creativemachines.cornell.edu/sites/default/files/Science09_Schmidt.pdf4/28/2011

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0Krishna Chintalapudi, Anand Padmanabha Iyer, and Venkata N. Padmanabhan. "Indoor Localization Without the Pain". MobiCom 2010.Bryan: using a custom GA for indoor wifi-based localization.6/25/2011

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0Divilly C., Oriordan, C., Hill, S. (2013). "Exploration and Analysis of the Evolution of Strategies for Mancala Variants". In Proceedings of the IEEE Conference on Computational Intelligence and Games (CIG 2013).Julian: more evolving strategieshttp://eldar.mathstat.uoguelph.ca/dashlock/CIG2013/papers/paper_45.pdf9/22/2013

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0Martin Pelikan, David E. Goldberg, and Fernando G. Lobo. (2000). "A Survey of Optimization by Building and Using Probabilistic Models".Bryan: an EDA survey; not very recent, but potentially still useful.http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.78.9211&rep=rep1&type=pdf5/12/2010

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0D. C. Ciresan, U. Meier, J. Masci, L. M. Gambardella, and J. Schmidhuber. Flexible, high performance convolutional neural networks for image classification. In Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence (IJCAI-2011), Barcelona, Spain, July 2011.Igor: one of the few openly NN papers at IJCAIijcai.org/papers11/Papers/IJCAI11-210.pdf7/22/2011 21:12:04

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0Richard Socher, Cliff C. Lin, Andrew Y. Ng, and Christopher D. Manning. "Parsing Natural Scenes and Natural Language with Recursive Neural Networks", ICML 2011.Bryan: impressive parsing of images and sentences with recursive NNs. Video of the ICML talk at the link.http://www.socher.org/index.php/Main/ParsingNaturalScenesAndNaturalLanguageWithRecursiveNeuralNetworks9/1/2011 10:48:28

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0Frank Seide, Gang Li, and Dong Yu. "Conversational Speech Transcription Using Context-Dependent Deep Neural Networks", Interspeech 2011.Bryan: speech recognition with (fancy) NNs.http://research.microsoft.com/apps/pubs/default.aspx?id=1531698/29/2011 8:09:19

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0Glasmachers, T., Schaul, T., Yi, S., Wierstra, D., Schmidhuber, J. (2010). "Exponential natural evolution strategies". 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, 393-400.Julian: continues from the NES paper we read on 3/11/2010 (see past papers sheet)http://portal.acm.org.ezproxy.lib.utexas.edu/ft_gateway.cfm?id=18305579/3/2010

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0Kate Smith-Miles and Jano van Hemert (2011). "Discovering the suitability of optimisation algorithms by learning from evolved instances", AMAI.Bryan: using an EA to evolve difficult instances of a computational problem.http://www.springerlink.com/content/6x83q3201gg715544/28/2011

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0Luigi Cardamone, Daniele Loiacono and Pier Luca Lanzi. Interactive Evolution for the Procedural Generation of Tracks in a High-End Racing Game. GECCO 2011.Igor: content generation for racing games. best paper nominee in Digital Entrainment trackhttp://dl.acm.org.ezproxy.lib.utexas.edu/citation.cfm?id=20016319/1/2011 10:27:51

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0Sam Ratcliff, David R. White, and John A. Clark. 2011. Searching for invariants using genetic programming and mutation testing. In Proceedings of the 13th annual conference on Genetic and evolutionary computation (GECCO '11)Igor: invariants in software engineering for proving correctness of programs. Best paper in software engineering track.http://dl.acm.org.ezproxy.lib.utexas.edu/citation.cfm?id=2001576.20018329/1/2011 15:51:29

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0Jinlong Li, Guanzhou Lu and Xin Yao. "Fitness Landscape-Based Parameter Tuning Method for Evolutionary Algorithms for Computing Unique Input Output Sequences", NIPS 2011.Bryan: an EA paper at NIPS?! Also, more work in the parameter-tuning vein discussed recently.http://www.springerlink.com/content/057224g865000975/11/16/2011

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0Schmidt, Christian, Branke, J¨urgen, and Chick, Stephen E. Integrating techniques from statistical ranking into evolutionary algorithms. In Appl. of Evolutionary Comp., volume 3907 of LNCS, pp. 752–763. Springer, 2006.Bryan: can EA sample efficiency be improved? Cited in Shivaram's bandit work.12/2/2011 11:21:10

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this paper and the previous one should be read togetherShepherd, J. F., Tumer, K. (2010). "Robust neuro-control for a micro quadrotor." 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, 1131-1138.Julian: another paper on the same work as the previous paperhttp://portal.acm.org.ezproxy.lib.utexas.edu/ft_gateway.cfm?id=1830693&type=pdf9/3/2010

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this paper and the previous one should be read together or in sequenceFast, E., Le Gouse, C., Forrest, S., Weimer, W. (2010). "Designing better fitness functions for automated program repair". 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, 965-972.Julian: continuing work from the previous paperhttp://portal.acm.org.ezproxy.lib.utexas.edu/ft_gateway.cfm?id=1830654&type=pdf9/3/2010

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Anything worth reading at http://www.nescent.org/?Might be interesting to see what the biologists are up to.3/13/2012 7:49:07