改进的蛇优化器基于磁盘王球曲线的近似合并
1College of Mathematics and Computer Application, Shangluo University, Shangluo 726000, China.
Biomimetics (Basel, Switzerland)
|March 27, 2024
概括
本研究介绍了一种新的方法,用于使用双向进化蛇优化器 (BEESO) 合并磁盘王球 (DWB) 曲线. BEESO有效地减少了合并错误,有助于产品形状数据的压缩和传输.
科学领域:
- 计算机辅助的几何设计 (CAGD)
- 计算几何学的计算几何学
- 优化算法 优化算法
背景情况:
- 合并曲线对于简化 CAGD 中的复杂形状至关重要.
- 传统方法由于其复杂性而难以合并磁盘王球 (DWB) 曲线.
- 高效的数据压缩和产品形状的转移仍然是一个挑战.
研究的目的:
- 为DWB曲线的近似合并提出一种有效的方法.
- 为了解决合并DWB曲线时遇到的困难.
- 建立一个优化模型,尽量减少合并错误.
主要方法:
- 开发了DWB曲线的近似合并模型,将其视为优化问题.
- 引入了双向进化蛇优化器 (BEESO) 以提高融合.
- BEESO集成了蛇优化器 (SO) 与双向搜索,进化人口动态和基于精英反对派的学习.
主要成果:
- BEESO在解决近似合并模型方面表现出有效性.
- 数字示例验证了该方法能够最小化合并错误的能力.
- 拟议的方法为DWB曲线合并提供了一个新的解决方案.
结论:
- 基于BEESO的方法为近似的DWB曲线合并提供了有效的解决方案.
- 这种技术有助于在CAGD中改进产品形状数据的压缩和传输.
- 这项研究为几何数据操纵提供了一种新的计算方法.
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