Parallel Computation of Distributed Genetic Algorithm on Loosely-coupled Multiprocessor Systems

نویسنده

  • T. Matsumura
چکیده

In this paper, we propose and evaluate a distributed and parallel processing method of genetic algorithms on the loosely-coupled multiprocessor systems. In the experimental evaluation, we observe that the solution quality depends on the network topology of the system and the communication frequency. The solution generated in the hypercube system and torus system was uniformly better than the completely-connected system and the ring topology system has the possibility to generate higher quality solutions even if its convergence speed is slow. Keyword: genetic algorithm, parallel processing, loosely-coupled multiprocessor system, network topology, optimization problem

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تاریخ انتشار 2007