Hunter Gerlach

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In this paper we develop a variation of the particle swarm optimization (PSO) algorithm that is tailored to discrete optimization problems. We focus on solving Sudoku puzzles but the ideas can be extended to other problems with discrete solutions. We compare our PSO-based algorithm to the classic PSO and to a (mu+lambda) evolutionary strategy (ES) for 50(More)
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