Richard A. Watson

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Jordan PollackProfessor and Chair of Computer Science, Brandeis UniversityAdresse e-mail validée de brandeis.edu
Rob MillsEPFLAdresse e-mail validée de epfl.ch
Simon T. PowersDivision of Computing Science and Mathematics, University of StirlingAdresse e-mail validée de stir.ac.uk
Christopher L. BuckleyUniversity of SussexAdresse e-mail validée de sussex.ac.uk
Daniel M WeinreichBrown UniversityAdresse e-mail validée de brown.edu
Alexandra PennCentre for the Evaluation of Complexity Across the Nexus (CECAN), University of SurreyAdresse e-mail validée de surrey.ac.uk
Joshua KnowlesSchlumberger | University of Birmingham | University of ManchesterAdresse e-mail validée de slb.com
Jason NobleRetired from academic work. (Formerly at University of Southampton.)Adresse e-mail validée de ecs.soton.ac.uk
Eörs Szathmáry, research professorCentre for Ecological ResearchAdresse e-mail validée de ecolres.hu
Edwin D. de JongKaiko.aiAdresse e-mail validée de kaiko.ai
Christoph ThiesUniversity of SouthamptonAdresse e-mail validée de soton.ac.uk
Tobias UllerLund UniversityAdresse e-mail validée de biol.lu.se
Gregory HornbyUniversity of California Santa CruzAdresse e-mail validée de nasa.gov
Kostas KouvarisCorpay OneAdresse e-mail validée de corpayone.com
Loizos KouniosAdresse e-mail validée de ecs.soton.ac.uk
C. Patrick DoncasterSchool of Biological Sciences, University of Southampton UKAdresse e-mail validée de soton.ac.uk
Ebner MarcErnst Moritz Arndt Universität GreifswaldAdresse e-mail validée de uni-greifswald.de
Simon TudgePhD Candidate University of SouthamptonAdresse e-mail validée de soton.ac.uk
Lin ChaoProfessor of Ecology, Behavior and Evolution, UCSDAdresse e-mail validée de ucsd.edu
Jeff CluneCS Assoc. Professor, U. British Columbia; CIFAR AI Chair, Vector; Senior Research Advisor, DeepMindAdresse e-mail validée de ubc.ca

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Richard A. Watson

University of Southampton

Adresse e-mail validée de ecs.soton.ac.uk - Page d'accueil

evolution


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
Perspective: sign epistasis and genetic constraint on evolutionary trajectories DM Weinreich, RA Watson, L Chao Evolution 59 (6), 1165-1174, 2005	779	2005
Reducing local optima in single-objective problems by multi-objectivization J Knowles, R Watson, D Corne Evolutionary Multi-Criterion Optimization, 269-283, 2001	505	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	359	2002
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	349	2020
Reducing bloat and promoting diversity using multi-objective methods E de Jong, R Watson, J Pollack	292	2001
How can evolution learn? RA Watson, E Szathmary Trends in Ecology and Evolution, 147-157, 2016	271	2016
Modeling building-block interdependency R Watson, G Hornby, J Pollack Parallel Problem Solving from Nature—PPSN V, 97-106, 1998	269	1998
Coevolutionary dynamics in a minimal substrate RA Watson, JB Pollack Proceedings of the Genetic and Evolutionary Computation Conference (GECCO …, 2001	236	2001
Developmental bias and evolution: a regulatory network perspective T Uller, AP Moczek, RA Watson, PM Brakefield, KN Laland Genetics 209 (4), 949-966, 2018	206	2018
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	182	1999
THE EVOLUTION OF PHENOTYPIC CORRELATIONS AND ‘DEVELOPMENTAL MEMORY’ RA Watson, GP Wagner, M Pavlicev, DM Weinreich, R Mills Evolution, 2014	143	2014
Compositional evolution: the impact of sex, symbiosis and modularity on the gradualist framework of evolution RA Watson MIT Press, 2006	129	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	123	2000
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	118*	2017
Modular interdependency in complex dynamical systems RA Watson, JB Pollack Artificial Life 11 (4), 445-457, 2005	118	2005
Compositional evolution: interdisciplinary investigations in evolvability, modularity, and symbiosis RA Watson PhD thesis. Brandeis University, 2002	115*	2002
The concurrent evolution of cooperation and the population structures that support it ST Powers, AS Penn, RA Watson Evolution 65 (6), 1527-1543, 2011	112	2011
Hierarchically consistent test problems for genetic algorithms RA Watson, JB Pollack Evolutionary Computation, 1999. CEC 99. Proceedings of the 1999 Congress on 2, 1999	112	1999
Embodied evolution: A response to challenges in evolutionary robotics SG Ficici, RA Watson, JB Pollack Proceedings of the Eighth European Workshop on Learning Robots, 14-22, 1999	97	1999
Pareto coevolution: Using performance against coevolved opponents in a game as dimensions for Pareto selection J Noble, RA Watson Proceedings of the Genetic and Evolutionary Computation Conference, GECCO …, 2001	92	2001

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