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• W3012313067 abstract "With the rapid growth of simulation software packages, generating practical tools for simulation-based optimization has attracted a lot of interest over the last decades. In this paper, a modified method of Estimation of Distribution Algorithms (EDAs) is constructed by a combination with variable-sample techniques to deal with simulation-based optimization problems. Moreover, a new variable-sample technique is introduced to support the search process whenever the sample sizes are small, especially in the beginning of the search process. The proposed method shows efficient results by simulating several numerical experiments." @default.
• W3012313067 created "2020-03-23" @default.
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• W3012313067 date "2020-03-18" @default.
• W3012313067 modified "2023-10-18" @default.
• W3012313067 title "Simulation-Based EDAs for Stochastic Programming Problems" @default.
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• W3012313067 doi "https://doi.org/10.3390/computation8010018" @default.
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