Includes bibliographical references and index.

Introduction to optimization -- The binary genetic algorithm -- The continuous parameter genetic algorithm -- Applications -- An added level of sophistication -- Advanced applications -- Evolutionary trends -- Appendix -- Glossary -- Index.

Practical Genetic Algorithms is the first introductory-level book to emphasize practical applications through the use of example problems.

In an accessible style, the authors explain why the genetic algorithm is superior in many real-world applications, cover continuous parameter genetic algorithms, and provide in-depth trade-off analysis of genetic algorithm parameter selection. Written for the end user in engineering, science, and computer programming, as well as upper-level undergraduate and graduate students, Practical Genetic Algorithms provides numerous practical example problems; contains over 80 illustrations; features many figures and tables; and includes three appendices: a glossary of terms, a list of genetic algorithm routines in pseudocode, and a list of symbols used in the book.

Print version record.

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