吉林大学学报（理学版）2012，Vol.50Issue(2)：208-212,5.
贪婪光线寻优算法的局部收敛性分析
Local Convergence Analysis of Greedy Light Ray Optimization Algorithm
摘要
Abstract
Light ray optimization algorithm is a new intelligent optimization algorithm with the weak local -optimization ability and the difficulty of perfection of convergence theory. To solve these problems, greedy light ray optimization algorithm was proposed. Local convergence of the proposed algorithm was proved via theoretical derivation. Numerical experimental results show that for single extremal nonlinear standard testing functions, greedy light ray optimization algorithm has a higher convergent accuracy and stability compared with particle swarm optimization and simulated annealing.关键词
费马原理/智能优化/光线寻优算法/局部收敛性Key words
Fermat's principle/ intelligent optimization/ light ray optimization algorithm/ local convergence分类
数理科学引用本文复制引用
沈继红,李加莲..贪婪光线寻优算法的局部收敛性分析[J].吉林大学学报（理学版）,2012,50(2):208-212,5.基金项目
黑龙江省自然科学基金(批准号:F200931). （批准号:F200931）
