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Updated: Apr 17, 2026

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
11:53

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Published on: December 9, 2012

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MOEA/DをCMA-ESに適応させ,非条件付きの多目的問題に対処する

Chengyu Lu1, Zhenhua Li2, Qingfu Zhang3

  • 1Department of Computer Science, City University of Hong Kong, Hong Kong, China chengyulu3-c@my.cityu.edu.hk.

Evolutionary computation
|February 19, 2026
PubMed
まとめ

新しいアルゴリズムであるMOES/Dは,進化的多目的最適化における不良条件の問題に取り組んでいます. それは,分離不能で条件が悪い問題を効率的に解決し,既存の方法よりも優れています.

キーワード:
進化戦略 進化戦略コラボレーション コラボレーション コラボレーション分解分解分解する.条件の悪い状態である.マルチオブジェクトの最適化分離不可能である.資源の配分 資源の配分

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