排名带电系统搜索算法用于优化和运营研究研究
Mohamad Hosein Rabiei1, Elnaz Eilbeigi2, Siamak Talatahari3,4,5
1Department of Civil Engineering, University of Tabriz, Tabriz, Iran.
Scientific reports
|January 6, 2026
概括
CSSRank是一种增强的充电系统搜索 (CSS) 算法,可以改善复杂的优化. 它在基准函数和现实世界的集群和水库优化任务上实现了卓越的性能,证明了稳定性和可扩展性.
科学领域:
- 计算智能是一种计算智能.
- 优化算法 优化算法
- 运营研究 运营研究
背景情况:
- 复杂的优化问题需要高效和强大的算法.
- 现有的充电系统搜索 (CSS) 算法在平衡勘探和开发方面存在局限性.
研究的目的:
- 介绍CSSRank,一个改进的CSS算法,用于提高复杂优化的效率.
- 评估CSSRank的表现与现有的方法和基准套件相比.
- 评估CSSRank对现实世界的集群和水库运行优化问题的适用性.
主要方法:
- 通过整合基于排名的减少选择和基于排名的突变策略,开发了CSSRank.
- 在标准基准函数,CEC 2014和CEC 2024套件上测试了CSSRank.
- 应用CSSRank到UCI集群数据集和水库运行优化问题.
主要成果:
- 在2014年CEC上,CSSRank超过了许多现有方法,并在2024年CEC上显示出具有竞争力的结果.
- 在UCI数据集上实现了更高的集群精度和可靠的客观值.
- 提供卓越的工程解决方案,以优化水库运行,提高成本和效率.
结论:
- 在理论和实际的优化任务中,CSSRank证明了有效性,多功能性和可靠性.
- 该算法为解决优化和运营研究中的复杂问题提供了强有力的候选.
- 对于各种优化挑战,CSSRank提供了一个强大的,可扩展的解决方案.
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