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
Indrajit RayProfessor, Computer Science, Colorado State UniversityVerified email at cs.colostate.edu
Rinku DewriUniversity of DenverVerified email at cs.du.edu
Renato TinósAssociate Professor of Computer Science, University of São PauloVerified email at ffclrp.usp.br
Robert HeckendornUniversity of IdahoVerified email at uidaho.edu
Indrakshi RayColorado State UniversityVerified email at cs.colostate.edu
fred gruauprofesseur d'informatique, université de Paris 11Verified email at lri.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
cesar guerra-salcedoOneMain FinancialVerified email at springleaf.com
J. Ross BeveridgeProfessor of Computer Science, Colorado State UniversityVerified email at colostate.edu
Rajarshi DasFatBrain.ai, IBM Research, Los Alamos National Laboratory, Santa Fe Institute, CSU, IIT-KGPVerified email at fatbrain.ai
Doug HainsColorado State UniversityVerified email at cs.colostate.edu
Gabriela OchoaProfessor of Computer Science, University of StirlingVerified email at cs.stir.ac.uk
Larry D. PyeattSouth Dakota School of Mines and Technology (SDSMT)Verified email at sdsmt.edu
Wenxiang ChenLinkedInVerified email at linkedin.com

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 (2), 65-85, 1994	4305	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	2123	1989
Scheduling problems and traveling salesmen: The genetic edge recombination operator LD Whitley, T Starkweather, D'Ann Fuquay ICGA 89, 133-40, 1989	1148	1989
Genetic algorithms and neural networks: Optimizing connections and connectivity D Whitley, T Starkweather, C Bogart Parallel computing 14 (3), 347-361, 1990	923	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	865	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	777	1992
A Comparison of Genetic Sequencing Operators. T Starkweather, S McDaniel, KE Mathias, LD Whitley, C Whitley ICGA, 69-76, 1991	596	1991
GENITOR: A different genetic algorithm D Whitley, J Kauth Rocky Mountain Conference on Artificial Intelligence, 1988	592	1988
An overview of evolutionary algorithms: practical issues and common pitfalls D Whitley Information and software technology 43 (14), 817-831, 2001	585	2001
Serial and parallel genetic algorithms as function optimizers VS Gordon, D Whitley ICGA, 177-183, 1993	573	1993
Lamarckian evolution, the Baldwin effect and function optimization D Whitley, VS Gordon, K Mathias International Conference on Parallel Problem Solving from Nature, 5-15, 1994	514	1994
Evaluating evolutionary algorithms D Whitley, S Rana, J Dzubera, KE Mathias Artificial intelligence 85 (1-2), 245-276, 1996	511	1996
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	485	1999
Fundamental principles of deception D Whitley Foundations of Genetic Algorithms 1991 (FOGA 1) 1, 221, 1991	436*	1991
Genitor II: A distributed genetic algorithm D Whitley, T Starkweather Journal of Experimental & Theoretical Artificial Intelligence 2 (3), 189-214, 1990	421	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	386	1996
Optimizing neural networks using faster, more accurate genetic search D Whitley, T Hansen Proc. of ICGA-89, 1989	368	1989
Using neural networks in reliability prediction N Karunanithi, D Whitley, YK Malaiya IEEE Software 9 (4), 53-59, 1992	344	1992
The traveling salesman and sequence scheduling: Quality solutions using genetic edge recombination D Whitley, T Starkweather, D Shaner Handbook of Genetic Algorithms., 1991	330	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	328*	1993

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