使用两个档案多目标晶体结构优化算法对不同结构设计的结构优化
Pranav Mehta1, Ghanshyam G Tejani2,3, Seyed Jalaleddin Mousavirad4
1Department of Mechanical Engineering, Dharmsinh Desai University, Nadiad, Gujarat, 387001, India.
Scientific reports
|April 25, 2025
概括
一个新的多目标晶体结构优化器 (MOCRY2arc) 有效地解决了复杂的结构设计问题. 这种新的算法平衡了融合和多样性,在现实应用中在速度和解决方案质量方面超过了现有的方法.
科学领域:
- 工程 工程师 工程师 工程师
- 计算科学 计算科学
背景情况:
- 多目标结构优化由于竞争目标和约束而带来挑战.
- 超听证学提供解决方案,但可以被随机性和限制限制所限制.
研究的目的:
- 引入多目标晶体结构优化器 (MOCRY),特别是MOCRY2arc,作为结构优化的强大解决方案.
- 为了评估MOCRY2arc的性能与已建立的优化技术相比.
主要方法:
- MOCRY2arc采用了两档案战略,重点关注多样性和融合.
- 该算法在五个现实世界的平面和空间结构优化问题上进行了测试,其中包括安全和尺寸约束.
- 绩效使用标准指标进行评估,如超量 (HV),代相逆代距离 (GD,IGD) 和间隔到范围指标 (STE).
主要成果:
- 在解决大规模结构优化问题时,MOCRY2arc表现出卓越的性能.
- 与其他九种先进的优化技术相比,该算法在显著更短的计算时间内取得了结果,包括NSGA-II.
- 在目标和决策空间中,MOCRY2几乎没有有效地识别出具有强烈融合和多样性的帕雷托最佳集.
结论:
- MOCRY2arc是一个强大而有效的优化器,可以解决具有挑战性的多目标结构设计问题.
- 该算法的处理复杂约束和竞争目标的能力使其成为工程师和研究人员的宝贵工具.
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