Genetic Algorithm Based Learning
نویسنده
چکیده
This chapter describes a subarea of machine learning which is actively exploring the use of genetic algorithms as the key element in the design of robust learning strategies. After charac terizing the kinds of learning problems motivating this approach, a brief overview of genetic algorithms is presented. Three major approaches to using genetic algorithms for machine learn ing are described and an example of their use in learning entire task programs is given. Finally, an assessment of the strengths and weaknesses of this approach to machine learning is provided.
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تاریخ انتشار 2009