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Pi Fractions are used to create deterministic uniformly distributedpseudorandom decision space sample points for a global search and optimizationalgorithm. These fractions appear to be uniformly distributed on [0,1] and canbe used in any stochastic algorithm rendering it effectively deterministicwithout compromising its ability to explore the decision space. Pi Fractionsare generated using the BBP Pi digit extraction algorithm. The Pi Fractionapproach is tested using genetic algorithm Pi-GASR with very good results. A PiFraction data file is available upon request.

Pi Fractions for Generating Uniformly Distributed Sampling Points in Global Search and Optimization Algorithms