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Genetic Algorithms: Key Concepts and Examples: a Brief Tutorial on Genetic Algorithms Alejandro Pazos
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Genetic Algorithms: Key Concepts and Examples: a Brief Tutorial on Genetic Algorithms
Alejandro Pazos
Evolutionary computation can be viewed as a set of techniques conceptually inspired by biological processes. Among that techniques, one of the most used are genetic algorithms. They follow the Darwin Law's to find the solution of a problem. The overall objective of this book is to provide a "roadmap" with which to find the way toward finding computational solutions to various problems. To this end, a general introduction is presented of the methods and techniques associated with genetic algorithms. In this context, this book ought not be viewed as an exhaustive or comprehensive analysis of the techniques presented herein. Instead, it should be considered as a reference that introduces the terminology, key concepts, and basic bibliography that can serve as a starting point such that the reader will be better equipped to subsequently pursue more deeply those topics that may be of special interest. In particular, this book is designed for those people who are interested in new approaches to problem solving as well for researchers who hope to initiate research directions along the lines of evolutionary computing or closely connected areas.
| メディア | 書籍 Paperback Book (ソフトカバーで背表紙を接着した本) |
| リリース済み | 2010年11月17日 |
| ISBN13 | 9783843370820 |
| 出版社 | LAP LAMBERT Academic Publishing |
| ページ数 | 60 |
| 寸法 | 226 × 4 × 150 mm · 107 g |
| 言語 | ドイツ語 |