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- W2102802929 abstract "The MasterMind puzzle is an interesting problem to be approached via evolutionary algorithms, since it is at the same time a constrained and a dynamic problem, and has eventually a single solution. In previous papers we have presented and evaluated different evolutionary algorithms to this game and shown how their behavior scales with size, looking mainly at the game-playing performance. In this paper we fine-tune the parameters of the evolutionary algorithms so that the worst case number of evaluations, and thus the average and median, are improved, resulting in a better solution in a more reliably predictable time." @default.
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- W2102802929 date "2011-06-01" @default.
- W2102802929 modified "2023-10-01" @default.
- W2102802929 title "Optimizing worst-case scenario in evolutionary solutions to the MasterMind puzzle" @default.
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- W2102802929 doi "https://doi.org/10.1109/cec.2011.5949952" @default.
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