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	Recursive learning of genetic algorithms with task decomposition and varied rule set
	Fang, Lei; Guan, Sheng-Uei; Zhang, Haofan
关键词	Algorithmic framework Classification accuracy Conventional approach Generalization accuracy Genetic algorithm (GAs) Pre-mature convergences Real-world problem Task decomposition
出处	Modeling Applications and Theoretical Innovations in Interdisciplinary Evolutionary Computation
内容类型	图书章节
URI标识	http://www.corc.org.cn/handle/1471x/3311356
专题	西安交通大学
推荐引用方式 GB/T 7714	Fang, Lei,Guan, Sheng-Uei,Zhang, Haofan. Recursive learning of genetic algorithms with task decomposition and varied rule set[Ch]. Modeling Applications and Theoretical Innovations in Interdisciplinary Evolutionary Computation,

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