Genetic algorithms
Genetic algorithms
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DOI：
10.1142/9789814527224_0012
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发表时间：
1999-10
期刊：
影响因子：
--
通讯作者：
Jochen Heistermann
中科院分区：
文献类型：
--
作者：
Jochen Heistermann
遗传算法是基于生物进化原理的概率搜索技术。随着生物有机体的进化，以更充分地适应其环境，遗传算法遵循的分析路径，从设计的发展，一个是最佳的环境约束放在它。由两位国际知名的专家对遗传算法和人工智能，这本重要的书地址在工业工程/制造领域最重要的优化技术之一，利用遗传算法更好地设计和生产高质量的可靠产品。这本书涵盖了先进的优化技术，适用于制造和工业工程过程，重点是组合和多目标优化问题，最遇到的工业。
From the Publisher: Genetic algorithms are probabilistic search techniques based on the principles of biological evolution. As a biological organism evolves to more fully adapt to its environment, a genetic algorithm follows a path of analysis from which a design evolves, one that is optimal for the environmental constraints placed upon it. Written by two internationally-known experts on genetic algorithms and artificial intelligence, this important book addresses one of the most important optimization techniques in the industrial engineering/manufacturing area, the use of genetic algorithms to better design and produce reliable products of high quality. The book covers advanced optimization techniques as applied to manufacturing and industrial engineering processes, focusing on combinatorial and multiple-objective optimization problems that are most encountered in industry.