文章基本信息

标题：Genetic Algorithm - an Approach to Solve Global Optimization Problems
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作者：PRATIBHA BAJPAI ; DR. MANOJ KUMAR
期刊名称：Indian Journal of Computer Science and Engineering
印刷版ISSN：2231-3850
电子版ISSN：0976-5166
出版年度：2010
卷号：1
期号：3
页码：199-206
出版社：Engg Journals Publications
摘要：The genetic algorithm (GA) is a search heuristic that is routinely used to generate useful solutions to optimization and search problems. It generates solutions to optimization problems using techniques inspired by natural evolution, such as inheritance, mutation, selection, and crossover. Genetic algorithms are one of the best ways to solve a problem for which little is known. They are a very general algorithm and so work well in any search space. All you need to know is what you need the solution to be able to do well, and a genetic algorithm will be able to create a high quality solution.
关键词：Global Optimization; Genetic Algorithms; Rastrigin's function.