最近的元启发算法用于解决一些土木工程优化问题
Essam H Houssein1,2, Mohamed Hossam Abdel Gafar3, Naglaa Fawzy3
1Faculty of Computers and Information, Minia University, Minia, Egypt. essam.halim@mu.edu.eg.
Scientific reports
|March 6, 2025
概括
一个新的混合元启发算法, Bald Eagle 搜索增长优化器 (BES-GO),在结构设计优化方面表现出色. 与现有方法相比,它在解决复杂的工程问题方面表现出卓越的性能.
科学领域:
- 工程优化工程优化
- 计算智能是一种计算智能.
- 结构工程 结构工程
背景情况:
- 结构设计优化问题带来了重大的计算挑战.
- 现有的元启发算法往往面临着融合速度和解决方案准确性的局限性.
- 持续需要先进的算法来解决复杂的工程设计任务.
研究的目的:
- 提出一种新的混合元启发算法,即 Bald Eagle 搜索增长优化器 (BES-GO).
- 评估BES-GO在基准结构设计优化问题的有效性.
- 将BES-GO的性能与十个最先进的元启发算法进行比较.
主要方法:
- 通过整合搜索 (BES) 和增长优化器 (GO) 来开发混合 BES-GO 算法.
- 用BES-GO应用于各种结构设计问题:接梁,三条梁,I梁偏移,管状柱子和悬臂梁.
- 使用CEC'20测试套件进行性能评估,并与其他十种元启发算法进行比较.
主要成果:
- 与十个基准算法相比,BES-GO算法始终取得了优异的结果.
- BES-GO展示了增强的搜索能力和更快的融合率.
- 该算法在为所有测试的结构设计问题找到最佳或接近最佳的解决方案方面被证明是有效的.
结论:
- 拟议的BES-GO混合算法是结构设计优化的一个强大而有效的工具.
- 在融合速度和解决方案质量方面,BES-GO提供了显著的优势.
- 这种新的方法为未来的工程计算智能研究提供了有希望的方向.
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