Practical genetic algorithms /
Haupt, Randy L.
Practical genetic algorithms / Randy L. Haupt & Sue Ellen Haupt. - 1 online resource (xiv, 177 pages) : illustrations
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.
9780471671749 0471671746
Genetic algorithms.
Algorithmes g�en�etiques.
Genetic algorithms
Genetischer Algorithmus
Algoritmos e estruturas de dados.
ALGORITHMS.
OPTIMIZATION.
MATHEMATICAL MODELS.
GENETICS.
Genetic algorithms.
Algorithmes g�en�etiques.
QA402.5 / .H387 1998eb
519.7
Practical genetic algorithms / Randy L. Haupt & Sue Ellen Haupt. - 1 online resource (xiv, 177 pages) : illustrations
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.
9780471671749 0471671746
Genetic algorithms.
Algorithmes g�en�etiques.
Genetic algorithms
Genetischer Algorithmus
Algoritmos e estruturas de dados.
ALGORITHMS.
OPTIMIZATION.
MATHEMATICAL MODELS.
GENETICS.
Genetic algorithms.
Algorithmes g�en�etiques.
QA402.5 / .H387 1998eb
519.7