高尔夫球优化算法:一种新的基于游戏的元启发算法及其应用于考虑弹性的能源承诺问题
Zeinab Montazeri1, Taher Niknam1, Jamshid Aghaei2
1Department of Electrical and Electronics Engineering, Shiraz University of Technology, Shiraz 7155713876, Iran.
Biomimetics (Basel, Switzerland)
|September 27, 2023
概括
研究人员开发了高尔夫优化算法 (GOA),这是一个由高尔夫球启发的新的元启发技术. 这种基于游戏的算法在优化任务中表现出色,表现出卓越的性能和平衡探索与开发.
科学领域:
- 计算智能是一种计算智能.
- 优化算法 优化算法
- 超启发式计算 超启发式计算
背景情况:
- 没有免费午餐定理强调了对专门优化算法的需求.
- 现有的元启发可能在平衡勘探和开发方面缺乏效率.
- 基于游戏的方法为算法设计提供了新的策略.
研究的目的:
- 介绍高尔夫优化算法 (GOA),一个新的基于游戏的元启发.
- 评估阿根廷政府在各种客观功能和工程问题上的表现.
- 为了证明阿根廷政府在平衡勘探和开采方面的有效性.
主要方法:
- 开发了高尔夫优化算法 (GOA),结合了不同的勘探和开发阶段.
- 印度政府对52个目标功能和4个现实工程应用进行了测试.
- 对10个已建立的优化算法进行了比较分析.
主要成果:
- 阿尔及利亚政府在勘探和开采方面都表现出强大的能力,实现了平衡的优化战略.
- 统计分析证实了GOA在各种指标上明显优于竞争算法.
- 澳大利亚政府成功解决了复杂的能源承诺问题,包括网络弹性考虑.
结论:
- 高尔夫优化算法 (GOA) 是一种有效且强大的元启发技术.
- GOA为解决工程中复杂的优化问题提供了一个有前途的替代方案.
- 为了支持研究界,为GOA提供了MATLAB实施代码.
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