Richard A. Watson

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Jordan PollackProfessor and Chair of Computer Science, Brandeis UniversityVerified email at brandeis.edu
Rob MillsEPFLVerified email at epfl.ch
Simon T. PowersLecturer, School of Computing, Edinburgh Napier UniversityVerified email at napier.ac.uk
Christopher L. BuckleyUniversity of SussexVerified email at sussex.ac.uk
Daniel M WeinreichBrown UniversityVerified email at brown.edu
Alexandra PennCentre for the Evaluation of Complexity Across the Nexus (CECAN), University of SurreyVerified email at surrey.ac.uk
Joshua KnowlesSchlumberger | University of Birmingham | University of ManchesterVerified email at slb.com
Jason NobleRetired from academic work. (Formerly at University of Southampton.)Verified email at ecs.soton.ac.uk
Edwin D. de JongQuintiqVerified email at quintiq.com
Gregory HornbyUniversity of California Santa CruzVerified email at nasa.gov
Eörs Szathmáry, research professorCentre for Ecological ResearchVerified email at ecolres.hu
Tobias UllerLund UniversityVerified email at biol.lu.se
Christoph ThiesUniversity of SouthamptonVerified email at soton.ac.uk
Kostas KouvarisCorpay OneVerified email at corpayone.com
Ebner MarcErnst Moritz Arndt Universität GreifswaldVerified email at uni-greifswald.de
Loizos KouniosVerified email at ecs.soton.ac.uk
Simon TudgePhD Candidate University of SouthamptonVerified email at soton.ac.uk
C. Patrick DoncasterSchool of Biological Sciences, University of Southampton UKVerified email at soton.ac.uk
Lin ChaoProfessor of Ecology, Behavior and Evolution, UCSDVerified email at ucsd.edu
Jeff CluneCS Assoc. Professor, U. British Columbia; CIFAR AI Chair, Vector; Senior Research Advisor, DeepMindVerified email at ubc.ca

Richard A. Watson

University of Southampton

Verified email at ecs.soton.ac.uk - Homepage

evolution


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Perspective: sign epistasis and genetic costraint on evolutionary trajectories DM Weinreich, RA Watson, L Chao Evolution 59 (6), 1165-1174, 2005	712	2005
Reducing local optima in single-objective problems by multi-objectivization J Knowles, R Watson, D Corne Evolutionary Multi-Criterion Optimization, 269-283, 2001	469	2001
Embodied evolution: Distributing an evolutionary algorithm in a population of robots RA Watson, SG Ficici, JB Pollack Robotics and autonomous systems 39 (1), 1-18, 2002	352	2002
Reducing bloat and promoting diversity using multi-objective methods E de Jong, R Watson, J Pollack	274	2001
Modeling building-block interdependency R Watson, G Hornby, J Pollack Parallel Problem Solving from Nature—PPSN V, 97-106, 1998	260	1998
Coevolutionary dynamics in a minimal substrate RA Watson, JB Pollack Proceedings of the Genetic and Evolutionary Computation Conference (GECCO …, 2001	225	2001
How can evolution learn? RA Watson, E Szathmary Trends in Ecology and Evolution, 147-157, 2016	223	2016
Embodied evolution: Embodying an evolutionary algorithm in a population of robots RA Watson, SG Ficiei, JB Pollack Evolutionary Computation, 1999. CEC 99. Proceedings of the 1999 Congress on 1, 1999	179	1999
The surprising creativity of digital evolution: A collection of anecdotes from the evolutionary computation and artificial life research communities J Lehman, J Clune, D Misevic, C Adami, L Altenberg, J Beaulieu, ... arXiv preprint arXiv:1803.03453, 2018	164	2018
Developmental bias and evolution: A regulatory network perspective T Uller, AP Moczek, RA Watson, PM Brakefield, KN Laland Genetics 209 (4), 949-966, 2018	158	2018
The surprising creativity of digital evolution: A collection of anecdotes from the evolutionary computation and artificial life research communities J Lehman, J Clune, D Misevic, C Adami, L Altenberg, J Beaulieu, ... Artificial life 26 (2), 274-306, 2020	138	2020
Compositional evolution: the impact of sex, symbiosis and modularity on the gradualist framework of evolution RA Watson MIT Press, 2006	123	2006
Evolutionary techniques in physical robotics J Pollack, H Lipson, S Ficici, P Funes, G Hornby, R Watson Evolvable Systems: from biology to hardware, 175-186, 2000	118	2000
Modular interdependency in complex dynamical systems RA Watson, JB Pollack Artificial Life 11 (4), 445-457, 2005	116	2005
Compositional evolution: interdisciplinary investigations in evolvability, modularity, and symbiosis RA Watson PhD thesis. Brandeis University, 2002	112*	2002
THE EVOLUTION OF PHENOTYPIC CORRELATIONS AND ‘DEVELOPMENTAL MEMORY’ RA Watson, GP Wagner, M Pavlicev, DM Weinreich, R Mills Evolution, 2014	111	2014
Hierarchically consistent test problems for genetic algorithms RA Watson, JB Pollack Evolutionary Computation, 1999. CEC 99. Proceedings of the 1999 Congress on 2, 1999	111	1999
The concurrent evolution of cooperation and the population structures that support it ST Powers, AS Penn, RA Watson Evolution 65 (6), 1527-1543, 2011	106	2011
How evolution learns to generalise: Using the principles of learning theory to understand the evolution of developmental organisation K Kouvaris, J Clune, L Kounios, M Brede, RA Watson PLoS computational biology 13 (4), e1005358, 2017	98*	2017
Symbiotic combination as an alternative to sexual recombination in genetic algorithms R Watson, J Pollack Parallel Problem Solving from Nature PPSN VI, 425-434, 2000	94	2000

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