A Local Mutation Genetic Algorithm

نویسنده

  • David L. Hibler
چکیده

The purpose of this paper is to discuss the use of the local mutation genetic algorithm (LMGA). In the local mutation technique chromosomes are constrained to lie at the vertices of a network. The location on a chromosome where mutations are allowed to occur is correlated with the location of the chromosome in the network. This paper analyzes the type of network needed for local mutation. It also describes how to implement local mutation on such a network. Finally, it evaluates the usefulness of the LMGA for a practical genetic algorithm application involving engineering design.

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تاریخ انتشار 2006