Genetic Algorithms + Data Structures = - Info and Reading Options
Evolution Programs
By Zbigniew Michalewicz
"Genetic Algorithms + Data Structures =" was published by Springer Berlin Heidelberg in 1994 - Berlin, Heidelberg, it has 340 pages and the language of the book is English.
“Genetic Algorithms + Data Structures =” Metadata:
- Title: ➤ Genetic Algorithms + Data Structures =
- Author: Zbigniew Michalewicz
- Language: English
- Number of Pages: 340
- Publisher: Springer Berlin Heidelberg
- Publish Date: 1994
- Publish Location: Berlin, Heidelberg
“Genetic Algorithms + Data Structures =” 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: [electronic resource] /
- Pagination: ➤ 1 online resource (xvi, 340 p.)
Edition Identifiers:
- The Open Library ID: OL27040862M - OL47602W
- Online Computer Library Center (OCLC) ID: 851370593
- ISBN-13: 9783662074206 - 9783662074183
- ISBN-10: 3662074206 - 3662074184
- All ISBNs: 3662074206 - 3662074184 - 9783662074206 - 9783662074183
AI-generated Review of “Genetic Algorithms + Data Structures =”:
"Genetic Algorithms + Data Structures =" Description:
The Open Library:
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 has been growing in the last decade, 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. It is aimed at researchers, practitioners, and graduate students in computer science and artificial intelligence, operations research, and engineering. This second edition includes several new sections and many references to recent developments. A simple example of genetic code and an index are also added. Writing an evolution program for a given problem should be an enjoyable experience - this book may serve as a guide to this task.
Open Data:
Intro -- Genetic Algorithms + Data Structures = Evolution Programs Second, Extended Edition -- Copyright -- Preface to the Second Edition -- Preface to the First Edition -- Table of Contents -- Introduction -- Part I Genetic Algorithms -- 1. GAs: What Are They? -- 2. GAs: How Do They Work? -- 3. GAs: Why Do They Work? -- 4. GAs: Selected Topics -- Part II Numerical Optimization -- 5. Binary or Float? -- 6. Fine Local Tuning -- 7. Handling Constraints -- 8. Evolution Strategies and Other Methods -- Part III Evolution Programs -- 9. The Transportation Problem -- 10. The Traveling Salesman Problem -- 11. Drawing Graphs, Scheduling, Partitioning, and Path Planning -- 12. Machine Learning -- Conclusions -- Appendix -- References -- Index
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