Books

Papers/Articles

Books : reviews

[cover]

Thomas Back, David B. Fogel, Zbigniew Michalewicz, editors. Evolutionary Computation 1: basic algorithms and operators. Institute of Physics. 2000

 

Contents

David B. Fogel.
Introduction to evolutionary computation
David Beasley.
Possible applications of evolutionary computation
Hans-Paul Schwefel.
Advantages (and disadvantages) of evolutionary computation over other approaches
David B. Fogel.
Principles of evolutionary processes
Raymond C. Paton.
Principles of genetics
Kenneth De Jong, David B. Fogel, Hans-Paul Schwefel.
A History of evolutionary computation
Thomas Back.
Introduction to evolutionary algorithms
Larry J. Eshelman.
Genetic algorithms
Gunter Rudolph.
Evolution strategies
V. William Porto.
Evolutionary programming
Kenneth E. Kinnear Jr.
Derivative methods in genetic programming
Robert E. Smith.
Learning classifier systems
Zbigniew Michalewicz.
Hybrid methods
Kalyanmoy Deb.
Introduction to representations
Thomas Back.
Binary strings
David B. Fogel.
Real-valued vectors
Darrell Whitley.
Permutations
David B. Fogel.
Finite-state representations
Peter J. Angeline.
Parse trees
David B. Fogel, Peter J. Angeline.
Guidelines for a suitable encoding
Peter J. Angeline, David B. Fogel.
Other representations
Kalyanmoy Deb.
Introduction to selection
John Grefenstette.
Proportional selection and sampling algorithms
Tobias Blickle.
Tournament selection
John Grefenstette.
Rank-based selection
Samir W. Mahfoud.
Boltzmann selection
David B. Fogel.
Other selection methods
Jayshree Sarma, Kenneth De Jong.
Generation gap methods
Peter J. B. Hancock.
A Comparison of selection mechanisms
Wolfgang Banzhaf.
Interactive evolution
Zbigniew Michalewicz.
Introduction to search operators
Thomas Back, David B. Fogel, Darrell Whitley, Peter J. Angeline.
Mutation operators
Lashon B. Booker, David B. Fogel, Darrell Whitley, Peter J. Angeline, Agoston E. Eiben.
Recombination
Russell W. Anderson, David B. Fogel, Martin Schutz.
Other operators

[cover]

Thomas Back, David B. Fogel, Zbigniew Michalewicz, editors. Evolutionary Computation 2: advanced algorithms and operators. Institute of Physics. 2000

 

Contents

Hitoshi Iba.
Introduction to fitness evaluation
Kalyanmoy Deb.
Encoding and decoding functions
Peter J. Angeline.
Competitive fitness evaluation
Hitoshi Iba.
Complexity-based fitness evaluation
C. M. Fonseca, P. J. Fleming.
Multiobjective optimization
Zbigniew Michalewicz.
Introduction to constraint-handling techniques
Alice E. Smith, David W. Colt.
Penalty functions
Zbigniew Michalewicz.
Decoders
Zbigniew Michalewicz.
Repair algorithms
Zbigniew Michalewicz.
Constraint-preserving operators
Zbigniew Michalewicz.
Other constraint-handling methods
Agoston E. Eiben, Zs Ruttkay.
Constraint-satisfaction problems
Samir W. Mahfoud.
Niching methods
Kalyanmoy Deb, William M. Spears.
Speciation methods
W. N. Martin, Jens Lienig, James P. Cohoon.
Island (migration) models: evolutionary algorithms based on punctuated equilibria
Chrisila C. Pettey.
Diffusion (cellular) models
Robert E. Smith.
Population sizing
Thomas Back.
Mutation parameters
William M. Spears.
Recombination parameters
Agoston E. Eiben, Robert Hinterding, Zbigniew Michalewicz.
Parameter control
Thomas Back.
Self-adaptation
Bernd Freisleben.
Meta-evolutionary approaches
Jan Paredis.
Coevolutionary algorithms
John Grefenstette.
Efficient implementation of algorithms
Gunter Rudolph, Jorg Ziegenhirt.
Computation time of evolutionary operators
Tetsuya Higuchi, Bernard Manderick.
Hardware realizations of evolutionary algorithms