Genetic Algorithms + Data Structures = Evolution Programs
By Zbigniew Michalewicz
"Genetic Algorithms + Data Structures = Evolution Programs" is published by Springer in Sep 22, 2011 - Berlin Heidelberg and it has 407 pages.
“Genetic Algorithms + Data Structures = Evolution Programs” Metadata:
- Title: ➤ Genetic Algorithms + Data Structures = Evolution Programs
- Author: Zbigniew Michalewicz
- Number of Pages: 407
- Publisher: Springer
- Publish Date: Sep 22, 2011
- Publish Location: Berlin Heidelberg
“Genetic Algorithms + Data Structures = Evolution Programs” Subjects and Themes:
- Subjects: ➤ Computer algorithms - Computer programs - Data structures (Computer science) - Evolutionary programming (Computer science) - Genetic algorithms - Logiciels - Optimisation numérique - Saisie des données (Informatique) - Problème transport - Algorithmes - Algorithme génétique - Partitionnement - Genetischer Algorithmus - Computadoras digitales (Programación) - Structures de données (Informatique) - Algorithmique - Estructura de datos (Ciencia de la computación) - Ordonnancement - Voyageur commerce - Structure donnée - Programowanie ewolucyjne - Algorytmy genetyczne - Optymalizacja - Struktury danych (informatyka) - Numerical analysis - Algorithms - Artificial intelligence - Software engineering - Operations research - Computer science - Qa76.9.a43 m53 1994 - 005.1
Edition Specifications:
- Format: paperback
Edition Identifiers:
- The Open Library ID: OL27974831M - OL47602W
- ISBN-13: 9783642082337 - 9783662033159
- ISBN-10: 3642082335
- All ISBNs: 3642082335 - 9783642082337 - 9783662033159
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"Genetic Algorithms + Data Structures = Evolution Programs" Description:
Open Data:
Genetic algorithms are founded upon the principle of evolution, i.e., survival of the fittest. Hence evolution programming techniques, based on genetic algorithms, are applicable to many hard optimization problems, such as optimization of functions with linear and nonlinear constraints, the traveling salesman problem, and problems of scheduling, partitioning, and control. The importance of these techniques is still growing, since evolution programs are parallel in nature, and parallelism is one of the most promising directions in computer science. The book is self-contained and the only prerequisite is basic undergraduate mathematics. This third edition has been substantially revised and extended by three new chapters and by additional appendices containing working material to cover recent developments and a change in the perception of evolutionary computation
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