改进了基于Chameleon算法的磁盘王球曲线的形状优化
Yan Liang1, Rui Yang2, Xianzhi Hu3
1School of Technology, Xi'an Siyuan University, Xi'an 710038, China.
Biomimetics (Basel, Switzerland)
|January 24, 2025
概括
本研究介绍了用于CAD/CAM复杂形状设计的组合磁盘王球 (CDWB) 曲线. 一个新的算法 (MCSA) 有效地优化CDWB曲线形状,最大限度地减少能源和提高设计灵活性.
科学领域:
- 计算机辅助设计和制造 (CAD/CAM)
- 计算几何学的计算几何学
- 优化算法 优化算法
背景情况:
- 复杂的磁盘曲线的设计和优化在CAD/CAM中具有挑战性.
- 对于盘王球 (DWB) 曲线的现有方法在灵活性和复杂性处理方面存在局限性.
研究的目的:
- 定义一个具有受约束参数的新型组合磁盘王球 (CDWB) 曲线.
- 使用元启发式算法研究CDWB曲线的形状优化.
- 确保G1和G2的几何连续性,以增强曲线设计.
主要方法:
- 通过结合多个DWB曲线来定义CDWB曲线.
- 将曲线能量作为目标函数的形状优化模型的制定.
- 应用多策略改进的黑群算法 (MCSA) 进行优化.
主要成果:
- 成功推导出CDWB曲线的G1和G2几何连续性条件.
- 在拼接约束下开发了CDWB曲线的优化模型.
- MCSA在最小化CDWB曲线的曲线能量方面表现出有效性.
结论:
- 新的CDWB曲线为复杂的形状设计提供了更大的灵活性.
- MCSA 是一个有效和有竞争力的算法,用于CDWB曲线形状的优化.
- 提出的方法解决了CAD/CAM曲线设计和优化的关键挑战.
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