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- W2051209056 abstract "We evolve heuristics to guide staged deepening search for the hard game of FreeCell, obtaining top-notch solvers for this NP-Complete, human-challenging puzzle. We first devise several novel heuristic measures and then employ a Hillis-style coevolutionary genetic algorithm to find efficient combinations of these heuristics. Our results significantly surpass the best published solver to date by three distinct measures: 1) Number of search nodes is reduced by 87%; 2) time to solution is reduced by 93%; and 3) average solution length is reduced by 41%. Our top solver is the best published FreeCell player to date, solving 98% of the standard Microsoft 32K problem set, and also able to beat high-ranking human players." @default.
- W2051209056 created "2016-06-24" @default.
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- W2051209056 date "2011-07-12" @default.
- W2051209056 modified "2023-09-23" @default.
- W2051209056 title "GA-FreeCell" @default.
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- W2051209056 doi "https://doi.org/10.1145/2001576.2001836" @default.
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