Books
Papers/Articles
Books : reviews
Thomas Back, David B. Fogel, Zbigniew Michalewicz, editors. Evolutionary Computation 1: basic algorithms and operators. Institute of Physics. 2000
Contents
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David B. Fogel.
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Introduction to evolutionary computation
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David Beasley.
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Possible applications of evolutionary computation
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Hans-Paul Schwefel.
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Advantages (and disadvantages) of evolutionary computation over other approaches
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David B. Fogel.
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Principles of evolutionary processes
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Raymond C. Paton.
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Principles of genetics
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Kenneth De Jong, David B. Fogel, Hans-Paul Schwefel.
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A History of evolutionary computation
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Thomas Back.
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Introduction to evolutionary algorithms
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Larry J. Eshelman.
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Genetic algorithms
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Gunter Rudolph.
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Evolution strategies
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V. William Porto.
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Evolutionary programming
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Kenneth E. Kinnear Jr.
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Derivative methods in genetic programming
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Robert E. Smith.
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Learning classifier systems
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Zbigniew Michalewicz.
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Hybrid methods
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Kalyanmoy Deb.
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Introduction to representations
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Thomas Back.
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Binary strings
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David B. Fogel.
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Real-valued vectors
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Darrell Whitley.
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Permutations
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David B. Fogel.
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Finite-state representations
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Peter J. Angeline.
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Parse trees
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David B. Fogel, Peter J. Angeline.
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Guidelines for a suitable encoding
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Peter J. Angeline, David B. Fogel.
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Other representations
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Kalyanmoy Deb.
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Introduction to selection
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John Grefenstette.
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Proportional selection and sampling algorithms
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Tobias Blickle.
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Tournament selection
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John Grefenstette.
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Rank-based selection
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Samir W. Mahfoud.
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Boltzmann selection
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David B. Fogel.
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Other selection methods
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Jayshree Sarma, Kenneth De Jong.
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Generation gap methods
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Peter J. B. Hancock.
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A Comparison of selection mechanisms
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Wolfgang Banzhaf.
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Interactive evolution
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Zbigniew Michalewicz.
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Introduction to search operators
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Thomas Back, David B. Fogel, Darrell Whitley, Peter J. Angeline.
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Mutation operators
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Lashon B. Booker, David B. Fogel, Darrell Whitley, Peter J. Angeline, Agoston E. Eiben.
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Recombination
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Russell W. Anderson, David B. Fogel, Martin Schutz.
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Other operators
Thomas Back, David B. Fogel, Zbigniew Michalewicz, editors. Evolutionary Computation 2: advanced algorithms and operators. Institute of Physics. 2000
Contents
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Hitoshi Iba.
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Introduction to fitness evaluation
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Kalyanmoy Deb.
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Encoding and decoding functions
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Peter J. Angeline.
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Competitive fitness evaluation
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Hitoshi Iba.
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Complexity-based fitness evaluation
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C. M. Fonseca, P. J. Fleming.
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Multiobjective optimization
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Zbigniew Michalewicz.
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Introduction to constraint-handling techniques
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Alice E. Smith, David W. Colt.
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Penalty functions
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Zbigniew Michalewicz.
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Decoders
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Zbigniew Michalewicz.
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Repair algorithms
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Zbigniew Michalewicz.
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Constraint-preserving operators
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Zbigniew Michalewicz.
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Other constraint-handling methods
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Agoston E. Eiben, Zs Ruttkay.
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Constraint-satisfaction problems
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Samir W. Mahfoud.
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Niching methods
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Kalyanmoy Deb, William M. Spears.
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Speciation methods
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W. N. Martin, Jens Lienig, James P. Cohoon.
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Island (migration) models: evolutionary algorithms based on punctuated equilibria
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Chrisila C. Pettey.
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Diffusion (cellular) models
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Robert E. Smith.
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Population sizing
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Thomas Back.
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Mutation parameters
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William M. Spears.
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Recombination parameters
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Agoston E. Eiben, Robert Hinterding, Zbigniew Michalewicz.
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Parameter control
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Thomas Back.
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Self-adaptation
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Bernd Freisleben.
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Meta-evolutionary approaches
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Jan Paredis.
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Coevolutionary algorithms
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John Grefenstette.
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Efficient implementation of algorithms
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Gunter Rudolph, Jorg Ziegenhirt.
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Computation time of evolutionary operators
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Tetsuya Higuchi, Bernard Manderick.
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Hardware realizations of evolutionary algorithms