SPARC-GAP: a parallel genetic algorithm processing platform

Genetic algorithms (GA) have emerged as a powerful technique for solving NP-complete problems, most notably those requiring optimisation of a system within a given set of constraints. The authors propose a novel attempt to realise a relatively low-cost parallel processing platform hosted on a Sun workstation that will enable unimpeded exploration of genetic algorithms. The system will be implemented on the SPARC-GAP platform.<
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