貿易ハブの位置と割り当て方法のための新型人工イーグルインスピレーションの最適化アルゴリズム
1Department of Applied Mathematics, Xi'an University of Technology, Xi'an 710054, China.
Biomimetics (Basel, Switzerland)
|August 27, 2025
まとめ
新しい人工イーグル最適化アルゴリズム (AEOA) は,貿易ハブの位置と割り当て問題を効果的に解決し,改善された物流のための建設と輸送コストを削減します.
科学分野:
- 運用研究
- コンピューター・インテリジェンス
- 最適化アルゴリズム
背景:
- 都市間の効率的な貨物輸送は経済活動にとって極めて重要です.
- 貿易ハブの位置と配分に関する既存の方法は,費用対効果が低く,最適ではないかもしれません.
- 建設と輸送コストを最小限に抑えることは,物流ネットワークの設計の重要な目標です.
研究 の 目的:
- 貿易拠点の位置と配置に関する新しい方法を提案する.
- この複雑な問題を解くための人工イーグル最適化アルゴリズム (AEOA) を開発する.
- 商品の移転に伴う全体的なコストを削減する.
主な方法:
- 建設と輸送コストを目的として,貿易ハブの位置と割り当てモデルを策定しました.
- の移動行動に触発された新しい人工最適化アルゴリズム (AEOA) を開発しました.
- AEOAに状況認識,自由探索,飛行戦略を組み込みました.
主要な成果:
- AEOAは他の8つのアルゴリズムと比較して12のベンチマーク機能のうち11で優れたパフォーマンスを示しました.
- 定量分析は,AEOAのより速い収束速度とより高い安定性を確認しました.
- シミュレートされたケーススタディは,最適なハブを選択し,コストを削減するメソッドの能力を示しました.
結論:
- AEOAによって推進された貿易ハブの位置と配分方法は,効果的に物流コストを最小限に抑えます.
- AEOAは複雑な最適化問題の 堅牢で効率的なアルゴリズムです
- このアプローチは,河南省のケーススタディで示されたように,物流計画における政府の意思決定に貴重なツールを提供します.
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