应用了一种新的元启发算法,灵感来自于连接的银行系统,在结构尺寸和布局中解决最佳设计问题和优化问题
Mehrdad Nemati1, Yousef Zandi2, Jamshid Sabouri1
1Department of Civil Engineering, Tabriz Branch, Islamic Azad University, Tabriz, Iran.
Scientific reports
|November 9, 2024
概括
本研究介绍了联网银行系统优化器 (CBSO),这是一个用于优化结构结构的新型元启发算法. 该CBSO算法在结构尺寸和布局优化方面表现出卓越的性能,在不需要参数调整的情况下产生更轻的结构.
科学领域:
- 结构工程 结构工程
- 计算优化计算优化
- 超启发式算法 超启发式算法
背景情况:
- 架构结构的优化是复杂的,特别是大小和布局的混合连续和离散变量.
- 超启发式算法是常用的,但集成计算机网络原则的新方法很少见.
- 现有的方法往往需要大量的参数调整,这限制了它们的实际应用.
研究的目的:
- 引入和评估连接银行系统优化器 (CBSO) 算法,以进行结构优化.
- 评估CBSO在基准结构尺寸/布局问题和标准测试功能方面的表现.
- 为了证明算法的稳定性和无参数性质.
主要方法:
- 开发联网银行系统优化器 (CBSO) 算法,灵感来自联网银行系统.
- 测试CBSO在15,18和25条杆架结构上进行尺寸和布局优化.
- 使用CEC-BC-2017测试函数和其他受约束优化问题的评估.
主要成果:
- 与现有方法相比,CBSO算法在基准结构问题上取得了更好的结果.
- 由CBSO设计的优化托架结构表现出明显更轻的重量.
- 统计分析证实了CBSO在处理复杂的优化任务方面的效率和有效性.
结论:
- 该CBSO是一个强大的和有效的元启发算法,用于结构尺寸和布局优化.
- 它的无参数性质简化了应用,提高了它的可靠性.
- 对于结构优化挑战,CBSO提供了一个有前途的替代方案.
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