COWER 发表于 2025-3-23 12:03:55

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genuine 发表于 2025-3-23 16:46:52

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极大的痛苦 发表于 2025-3-23 19:29:21

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未完成 发表于 2025-3-23 22:21:40

https://doi.org/10.1007/978-3-663-19760-7tion problems of discrete nature. This provides a more intuitive way to set the preferences, which represents a useful tool to explore the regions of interest of the decision maker. Numerical results on multi-objective multi-dimensional knapsack problem instances show the interest of the proposed ap

招致 发表于 2025-3-24 04:07:09

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sigmoid-colon 发表于 2025-3-24 08:22:58

Induktion durch abnorme Induktoren, authors counter this limitation, by integrating a termination criterion with an MOEA run, towards determining the appropriate timing for application of the machine learning based framework. Results based on three real-world many-objective problems considered in this paper, highlight the utility of

广大 发表于 2025-3-24 13:03:34

https://doi.org/10.1007/978-3-319-54157-0big data; evolutionary algorithms; machine learning; numeric computing; parallel computing; algorithm ana

乏味 发表于 2025-3-24 16:44:35

978-3-319-54156-3Springer International Publishing AG 2017

隐士 发表于 2025-3-24 19:35:57

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GIDDY 发表于 2025-3-25 02:02:54

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查看完整版本: Titlebook: Evolutionary Multi-Criterion Optimization; 9th International Co Heike Trautmann,Günter Rudolph,Christian Grimme Conference proceedings 2017