全球优化的多目标白优化器和农村体育设施位置问题
Yan Zheng1, Bin Guo2,3, Yongquan Zhou2,3
1Department of Science and Technology Teaching, China University of Political Science and Law, Beijing 100088, China.
Biomimetics (Basel, Switzerland)
|August 27, 2025
概括
一个新的多目标白优化器 (MOWSO) 提高了体育设施的位置规划. 这种算法优化了居民覆盖率和位置效率,为农村地区提供多样化,智能化的解决方案.
科学领域:
- 运营研究
- 计算智能
- 空间优化
背景情况:
- 白优化器 (WSO) 是一个集群智能算法,具有广泛的应用.
- 优化体育设施的位置是一个复杂的,多目标的挑战.
研究的目的:
- 为体育设施的位置问题提出一个多目标白优化器 (MOWSO).
- 通过存档机制和帕雷托最佳解决方案距离计算,增强非主导解决方案的多样性和分布.
主要方法:
- 制定体育设施位置问题作为多目标优化任务.
- 介绍居民覆盖范围和韦伯问题作为客观函数.
- 通过适应性档案管理策略开发和实施MOWSO.
主要成果:
- 与其他CEC 2020基准函数相比,MOWSO在解决方案多样性和分布方面表现出卓越的表现.
- 该算法成功生成了农村体育设施的最佳位置方案.
结论:
- MOWSO是一种有效的算法,用于解决多目标优化问题,特别是在空间规划中.
- 拟议的方法为农村体育设施的位置提供了有价值的多样化选择,促进了智能设计和规划.
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