| 书目名称 | Nature Inspired Cooperative Strategies for Optimization (NICSO 2008) | | 编辑 | Natalio Krasnogor,María Belén Melián-Batista,David | | 视频video | | | 概述 | Presents latest results in nature inspired cooperative strategies for optimization | | 丛书名称 | Studies in Computational Intelligence | | 图书封面 |  | | 描述 | The inspiration from Biology and the Natural Evolution process has become a research area within computer science. For instance, the description of the arti?cial neuron given by McCulloch and Pitts was inspired from biological observations of neural mechanisms; the power of evolution in nature in the diverse species that make up our world has been related to a particular form of problem solving based on the idea of survival of the ?ttest; similarly, - ti?cial immune systems, ant colony optimisation, automated self-assembling programming, membrane computing, etc. also have their roots in natural phenomena. The ?rst and second editions of the International Workshop on Nature Inspired Cooperative Strategies for Optimization (NICSO), were held in Granada, Spain, 2006, and in Acireale, Italy, 2007, respectively. As in these two previous editions, the aim of NICSO 2008, held in Tenerife, Spain, was to provide a forum were the latest ideas and state of the art research related to nature inspired cooperative strategies for problem solving were discussed. The contributions collected in this book were strictly peer reviewed by at least three members of the international programme committee, | | 出版日期 | Book 2009 | | 关键词 | Cyc; algorithms; communication; evolution; evolutionary algorithm; genetic algorithm; genetic algorithms; m | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-642-03211-0 | | isbn_softcover | 978-3-642-26034-6 | | isbn_ebook | 978-3-642-03211-0Series ISSN 1860-949X Series E-ISSN 1860-9503 | | issn_series | 1860-949X | | copyright | Springer-Verlag Berlin Heidelberg 2009 |
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发表于 2025-3-21 18:08:36
