信息与控制2016，Vol.45Issue(3)：306-312,7.DOI:10.13976/j.cnki.xk.2016.0306
自适应混合文化蛙跳算法求解连续空间优化问题
Adaptive Mixed-culture Shuffled Frog-leaping Algorithm for Continuous-space Optimization
摘要
Abstract
To solve optimization problems in continuous space,we propose an adaptive mixed-culture shuffled frogleaping algorithm (SFLA) in which community space is evolved by the improved SFLA,belief space is updated by the cloud model algorithm,outer space is evolved by the chaos algorithm and an opposition-based learning algorithm,and knowledge about these three spaces is exchanged through adaptive acceptance and effect operations.Finally,based on a typical complex function test,our simulation results indicate that the proposed algorithm has better convergence precision and computing speed and is especially suitable for multimodal function optimization.关键词
混合蛙跳算法/文化算法/云模型/混沌/连续空间优化Key words
shuffled flog leaping algorithm/culture algorithm/cloud model/chaos/continuous space optimization分类
信息技术与安全科学引用本文复制引用
刘丽杰,张强..自适应混合文化蛙跳算法求解连续空间优化问题[J].信息与控制,2016,45(3):306-312,7.基金项目
国家自然科学基金资助项目(61170132) （61170132）
黑龙江省教育厅项目(12541086) （12541086）
