Implementing Fast and Flexible Parallel Genetic Algorithms
نویسنده
چکیده
As genetic algorithms (GAs) are used to solve harder problems, it is becoming necessary to use better algorithms and more eecient implementations to reach good solutions fast. This chapter describes the implementation of master-slave and multiple-population parallel GAs. The goal of the chapter is to help others to implement their own parallel codes. To this eeect, the text discusses some of the design decisions that were made and possible improvements to the code.
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تاریخ انتشار 1998