| 书目名称 | Evolutionary Algorithms for Solving Multi-Objective Problems | | 编辑 | Carlos A. Coello Coello,David A. Veldhuizen,Gary B | | 视频video | | | 丛书名称 | Genetic Algorithms and Evolutionary Computation | | 图书封面 |  | | 描述 | Researchers and practitioners alike are increasingly turning to search, op timization, and machine-learning procedures based on natural selection and natural genetics to solve problems across the spectrum of human endeavor. These genetic algorithms and techniques of evolutionary computation are solv ing problems and inventing new hardware and software that rival human designs. The Kluwer Series on Genetic Algorithms and Evolutionary Computation pub lishes research monographs, edited collections, and graduate-level texts in this rapidly growing field. Primary areas of coverage include the theory, implemen tation, and application of genetic algorithms (GAs), evolution strategies (ESs), evolutionary programming (EP), learning classifier systems (LCSs) and other variants of genetic and evolutionary computation (GEC). The series also pub lishes texts in related fields such as artificial life, adaptive behavior, artificial immune systems, agent-based systems, neural computing, fuzzy systems, and quantum computing as long as GEC techniques are part of or inspiration for the system being described. This encyclopedic volume on the use of the algorithms of genetic and evolu tionary com | | 出版日期 | Book 20021st edition | | 关键词 | algorithms; chemistry; classification; computation; computer; computer science; ecology; evolution; evolutio | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4757-5184-0 | | isbn_ebook | 978-1-4757-5184-0Series ISSN 1568-2587 | | issn_series | 1568-2587 | | copyright | Springer Science+Business Media New York 2002 |
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发表于 2025-3-21 17:02:30
