In this paper, it was proposed to design and implement a system of parallel\nprocessing to find the required solutions from selective algorithms as quickly.\nMotives for writing paper are the current performance of computer systems\nthat depend on evolutionary algorithms (EA), and the wide spread of the\n(EA), and its application to a very wide range of scientific fields, and by taking\nadvantage of the Field programmable gate array (FPGA) board due to its\nhigh speed of implementation. The values were validated and the Genetic\nAlgorithm (GA) was used as a functional model and implementation. Also, in\nthe most important stages, the process of calculating fitness function, which is\nconsidered an executive criterion for the (GA), with terminal computers with\nhigh speeds and medium specifications, was done for the purposes of calculating\nfitness function independently of Board. Identical results were obtained\nat 100% accuracy by applying the work to a non-linear quadratic.
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