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- W1569101420 abstract "When considering noisy fitness functions for some CPU-time consuming applications, a trade-off problem arise: how to reduce the influence of the noise while not increasing too much computation time. In this paper, we propose and experiment some new strategies based on an exploitation of historical information on the algorithm evolution, and a non-generational evolutionary algorithm." @default.
- W1569101420 created "2016-06-24" @default.
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- W1569101420 date "2002-01-01" @default.
- W1569101420 modified "2023-09-23" @default.
- W1569101420 title "History and Immortality in Evolutionary Computation" @default.
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- W1569101420 doi "https://doi.org/10.1007/3-540-46033-0_11" @default.
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