Integrating Local Search into Genetic Algorithms
نویسنده
چکیده
Genetic algorithms (GAs) have proved to be a versatile and eeective approach for solving combinatorial optimization problems. Nevertheless, there are many situations in which the simple GA does not perform particularly well, and various methods of hybridization have been proposed. These often involve incorporating other methods such as simulated annealing or local optimization as a post-processor to the basic GA strategy of selection and reproduction. In this paper, rather than keeping the local optimization separate from recombination, we intend to explore the possibilities of integrating it more directly into the standard genetic algorithm. The graph partitioning problem and the no-wait owshop sequencing problem will be used to illustrate the approach.
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