优化合效率的蝶光通信激光基于混乱的自适应搜索器优化算法.
Shunshun Zhong1, Cong Xu1,2, Dongmei Sun1
1State Key Laboratory of Precision Manufacturing for Extreme Service Performance, College of Mechanical and Electrical Engineering, Central South University, Changsha 410083, China.
Micromachines
|July 29, 2023
概括
一个新的混乱自适应搜索器优化算法 (CASOA) 提高了激光合的效率和准确性. 这种方法使用混乱干扰来提高搜索性能,以最小的代实现高成功率.
科学领域:
- 光学工程是指光学工程.
- 计算智能是一种计算智能.
- 激光物理 激光物理
背景情况:
- 激光二极管与单模纤维的准确合对于光通信系统至关重要.
- 现有的优化算法可能会在调整任务中与局部优化和效率作斗争.
- 蝶光通信激光器需要精确的对齐以获得最佳性能.
研究的目的:
- 提出一个混乱的自适应搜索器优化算法 (CASOA) 改进激光合.
- 为了提高在光学对齐中优化算法的搜索性能和融合速度.
- 为了提高蝶光通信激光器的合效率和精度.
主要方法:
- 开发了混沌自适应搜索器优化算法 (CASOA),结合了混乱干扰.
- 为小人群实施一种新的搜索路径优化策略.
- 进行模拟和实验验证CASOA的激光-纤维合.
主要成果:
- 在合对齐任务中,CASOA表现出极好的搜索成功率.
- 该算法实现了高精度和高效率与一个小的人口和少数代.
- 实验结果证实了CASOA在实际激光二极管和单模光纤合中的有效性.
结论:
- 拟议的CASOA可靠地提高了激光二极管和单模纤维的合精度和效率.
- CASOA的混乱干扰有效地帮助逃离局部最佳值,提高了搜索性能.
- 该算法为光通信系统中精确对齐提供了一个有前途的解决方案.
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