グローバル最適化と農村スポーツ施設の位置問題のための多目的白最適化器

Yan Zheng¹, Bin Guo^2,3, Yongquan Zhou^2,3

¹Department of Science and Technology Teaching, China University of Political Science and Law, Beijing 100088, China.

Biomimetics (Basel, Switzerland)

|August 27, 2025

まとめ

新しい多目的白最適化器 (MOWSO) が,スポーツ施設の場所計画を改善します. このアルゴリズムは住民の範囲と場所の効率を最適化し農村部に多様でインテリジェントなソリューションを提供します

科学分野:

運用研究
コンピューター・インテリジェンス
空間最適化について

背景:

ホワイトサメ最適化器 (WSO) は,広範なアプリケーションを持つスワームインテリジェンスアルゴリズムです.
スポーツ施設の位置を最適化することは複雑で多目的の課題です

研究の目的:

スポーツ施設の位置の問題に対する多目的白最適化器 (MOWSO) を提案する.
アーカイブメカニズムとパレト最適解距離計算を使用して,非支配的な解の多様性と分布を高める.

主な方法:

スポーツ施設の位置問題を複数目的の最適化タスクとして策定する.
客観的な関数としての居住者カバーとウェバー問題を導入します.
アダプティブアーカイブ管理戦略によるMOWSOの開発と実施

主要な成果:

MOWSOは,CEC 2020のベンチマーク機能の他のアルゴリズムと比較して,ソリューションの多様性および分布において優れたパフォーマンスを示しました.
アルゴリズムによって田舎のスポーツ施設の最適な位置図が作られました

結論:

MOWSOは,特に空間計画における多目的最適化問題を解決するための効果的なアルゴリズムです.
提案された方法は,インテリジェントな設計と計画を促進し,田舎のスポーツ施設の位置に価値のある多様な選択肢を提供します.

キーワード:

ベンチマーク機能グローバル最適化インテリジェンス最適化マルチオブジェクトホワイトサメ最適化器田舎のスポーツ施設の位置

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