A Performance Comparison of Parallel Genetic and Memetic Algorithms using MPI
نویسنده
چکیده
In this paper we propose a parallel memetic algorithm which combines population-based method with guided local search (GLS) procedure. In the proposed algorithm, a GLS procedure is applied to each solution generated by genetic operations. The performance of proposed method compared with parallel genetic approaches (i.e. global model, migration model for GA). The parallel implementation is based on message passing interface (MPI).
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