Evolutionary Computation for Modeling and Optimization Cover Image

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Evolutionary Computation for Modeling and Optimization / Author: Daniel Ashlock.

Department of Mathematics and Statistics,University of Guelph. (Author). Daniel Ashlock; (Author.).

Summary:

Evolutionary computation for modeling and optimization is an antroduction to evolutionary computation,a field which includes genetic algorithms,evolutionary programming,evolution strategies and genetic programming.

Record details

ISBN: 0387221964
ISBN: 9780387221960
Physical Description: 571 pg. With 163 Figures.
Publisher: USA. Springer. 2006.

Content descriptions

General Note:	To my wife,Wendy.
Bibliography, etc. Note:	Bibliographycal References 555-558pg.Index 559-571pg.
Formatted Contents Note:	1.An Overview of Evolutionary Computation -- 2.Designing Simple Evolurionary Algorithms -- 3.Optimizing Reail-Valued Functions -- 4.Sunburn:Coevolving Strings -- 5.Small Neural Nets:Symbots -- 6.Evolving Finite State Automata -- 7.Ordered Structures -- 8.Plus-One-Recall-Store -- 9.Fitting to Data -- 10.Tartarus:Discrete Robotics -- 11.Evolving Logic Functions -- 12.ISAc List :Alternative Genetic Programming -- 13.Graph-Based Evolutionary Algorithms -- 14.Cellular Encoding -- 15.Application to Bioformatics -- Glossary -- A Example Experiment Report -- B Probability Theory -- C A Review of Calculus and Vectors -- D Combinatorial Graphs.

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Subject:

Computer Science
Evolutionary Computation
Modeling and Optimization

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Location	Call Number / Copy Notes	Barcode	Shelving Location	Status	Due Date
The Library of the Faculty of Exact and Natural Sciences (Reading Hall 1)	004	900000941935	Stacks	Available	-

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900000941935

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