Genetic algorithms usually require more computation power than other heuristic approaches do. In this paper we introduce an efficient implementation of asynchronously global parallel genetic algorithm with 3-tournament elimination selection. The parallelization of the algorithm is achieved through multithreading mechanism, a very effective and easy to implement technique. With parallelization we can get a significant decrease in computational time on a multiprocessor system. Reducing interprocess communication is a key to getting high performance in parallel computing. That is the reason why the asynchronous model is used. Described model of global PGA is suitable for implementation on a shared memory multiprocessor.

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