L. Darrell Whitley

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Adele HoweProfessor of Computer Science, Colorado State University Verified email at cs.colostate.edu
Jean-Paul WatsonLawrence Livermore National Laboratory, Livermore, California, USAVerified email at llnl.gov
Laura BarbulescuCarnegie Mellon UniversityVerified email at cs.cmu.edu
Andrew M. SuttonUniversity of Minnesota DuluthVerified email at umn.edu
Francisco ChicanoAssociate, University of MálagaVerified email at lcc.uma.es
Renato TinósProfessor of Computer Science, University of São PauloVerified email at ffclrp.usp.br
Indrajit RayProfessor, Computer Science, Colorado State UniversityVerified email at cs.colostate.edu
Rinku DewriUniversity of DenverVerified email at cs.du.edu
Robert HeckendornUniversity of IdahoVerified email at uidaho.edu
fred gruauAssistant Professor, 'informatique, université Paris SacalyVerified email at lisn.fr
Yashwant K MalaiyaProfessor of Computer Science, Colorado State UniversityVerified email at cs.colostate.edu
V. Scott GordonProfessor of Computer Science, California State University SacramentoVerified email at ecs.csus.edu
Gabriela OchoaProfessor of Computer Science, University of StirlingVerified email at cs.stir.ac.uk
cesar guerra-salcedoOneMain FinancialVerified email at springleaf.com
J. Ross BeveridgeProfessor of Computer Science, Colorado State UniversityVerified email at colostate.edu
Doug HainsColorado State UniversityVerified email at cs.colostate.edu
Wenxiang ChenSnapVerified email at snapchat.com
Larry D. PyeattSouth Dakota School of Mines and Technology (SDSMT)Verified email at sdsmt.edu
Jonathan RoweSchool of Computer Science, University of Birmingham Verified email at cs.bham.ac.uk
J. David Schafferbinghamton universityVerified email at binghamton.edu

L. Darrell Whitley

Professor of Computer Science, Colorado State University

Verified email at cs.colostate.edu - Homepage

Artificial Intelligence Local Search Evolutionary Computation Neural Networks


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
A genetic algorithm tutorial D Whitley Statistics and computing 4, 65-85, 1994	5558	1994
The GENITOR algorithm and selection pressure: why rank-based allocation of reproductive trials is best. LD Whitley Colorado State University, Department of Computer Science, 1989	2205	1989
Scheduling problems and traveling salesmen: The genetic edge recombination operator LD Whitley, T Starkweather, D'Ann Fuquay ICGA 89, 133-40, 1989	1188	1989
Genetic algorithms and neural networks: Optimizing connections and connectivity D Whitley, T Starkweather, C Bogart Parallel computing 14 (3), 347-361, 1990	997	1990
Neural networks for river flow prediction N Karunanithi, WJ Grenney, D Whitley, K Bovee Journal of computing in civil engineering 8 (2), 201-220, 1994	926	1994
Combinations of genetic algorithms and neural networks: A survey of the state of the art JD Schaffer, D Whitley, LJ Eshelman [Proceedings] COGANN-92: International Workshop on Combinations of Genetic …, 1992	821	1992
An overview of evolutionary algorithms: practical issues and common pitfalls D Whitley Information and software technology 43 (14), 817-831, 2001	638	2001
GENITOR: A different genetic algorithm D Whitley, J Kauth Rocky Mountain Conference on Artificial Intelligence, 1988	625	1988
A Comparison of Genetic Sequencing Operators. T Starkweather, S McDaniel, KE Mathias, LD Whitley, C Whitley ICGA, 69-76, 1991	610	1991
Serial and parallel genetic algorithms as function optimizers VS Gordon, D Whitley ICGA, 177-183, 1993	590	1993
Lamarckian evolution, the Baldwin effect and function optimization D Whitley, VS Gordon, K Mathias Parallel Problem Solving from Nature—PPSN III: International Conference on …, 1994	542	1994
The island model genetic algorithm: On separability, population size and convergence D Whitley, S Rana, RB Heckendorn Journal of computing and information technology 7 (1), 33-47, 1999	532	1999
Evaluating evolutionary algorithms D Whitley, S Rana, J Dzubera, KE Mathias Artificial intelligence 85 (1-2), 245-276, 1996	527	1996
Fundamental principles of deception D Whitley Foundations of Genetic Algorithms 1991 (FOGA 1) 1, 221, 1991	447*	1991
Genitor II: A distributed genetic algorithm D Whitley, T Starkweather Journal of Experimental & Theoretical Artificial Intelligence 2 (3), 189-214, 1990	426	1990
A comparison between cellular encoding and direct encoding for genetic neural networks F Gruau, D Whitley, L Pyeatt Proceedings of the 1st annual conference on genetic programming, 81-89, 1996	404	1996
Using neural networks in reliability prediction N Karunanithi, D Whitley, YK Malaiya IEEE Software 9 (4), 53-59, 1992	382	1992
Optimizing neural networks using faster, more accurate genetic search D Whitley, T Hansen Proc. of ICGA-89, 1989	372	1989
The traveling salesman and sequence scheduling: Quality solutions using genetic edge recombination D Whitley, T Starkweather, D Shaner Handbook of Genetic Algorithms., 1991	364	1991
Adding learning to the cellular development of neural networks: Evolution and the Baldwin effect F Gruau, D Whitley Evolutionary computation 1 (3), 213-233, 1993	334*	1993

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