Parallel simulated annealing and genetic algorithms: A space of hybrid methods (original) (raw)

Parallel simulated annealing and genetic algorithms: A space of hybrid methods

Lecture Notes in Computer Science, 1994

Abstract

Abstract. Simulated annealing and genetic algorithms represent pow-erful optimization methods with complementary strengths and weak-nesses. Hence, there is an interest in identifying hybrid methods (which combine features of both SA and GA) that exhibit performance superior ...

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