计算机应用研究2018，Vol.35Issue(3)：654-657,4.DOI:10.3969/j.issn.1001-3695.2018.03.003
量子光学优化算法
Quantum-behaved optics inspired optimization
摘要
Abstract
By analyzing the character of optics optimization algorithm,this paper described every light point in the algorithm as a particle in the quantum space and found the quantum potential field model with the aggregation of swarm intelligence.Because of the points of self-organize and cooperation,this paper raised the quantum-behaved optics algorithm.Using several functions to analyze,the results show that the algorithm with the theory of quantum mechanics has fewer control parameters and simpler setup,and it has better performance and faster convergent speed than OIO algorithms.关键词
量子力学/光学优化算法/量子势能场/仿真分析/优化性能Key words
quantum mechanics/optics inspired optimization (OIO)/quantum potential energy field/simulation analysis/performance of optimization分类
信息技术与安全科学引用本文复制引用
王金叶,马良,刘勇..量子光学优化算法[J].计算机应用研究,2018,35(3):654-657,4.基金项目
国家自然科学基金资助项目(71401106) （71401106）
国家教育部人文社科规划基金项目(16YJA630037) （16YJA630037）
上海市高原学科建设项目 （）
上海高校青年教师培养计划资助项目(ZZsl15018) （ZZsl15018）
上海理工大学博士科研启动经费项目(1D-15-303-005) （1D-15-303-005）
