计算机应用研究2017，Vol.34Issue(9)：2614-2617,2623,5.DOI:10.3969/j.issn.1001-3695.2017.09.011
基于旋转学习策略的共生生物搜索算法
Symbiotic organisms search using rotation-based learning
摘要
Abstract
In order to improve the performance of symbiotic organisms aearch algorithm(SOS),this paper proposed a symbiotic organisms search using rotation-based learning algorithm.In this algorithm,it changed serial individual update mode into parallel population update mode to improve the convergence speed.Supplementing the diversities of population by which introducing traversing the optimal rotation learning strategy in view of the blindness of the random search for the parasitic mechanism and increase the probability of retaining new individuals,meanwhile it improved the ability of jumping out of local optimum.Experimental results on eight benchmark functions show that the RSOS improves convergence and robustness compared to the SOS.关键词
共生生物搜索算法/旋转学习/函数优化Key words
symbiotic organisms search algorithm/rotation-based learning/function optimization分类
信息技术与安全科学引用本文复制引用
王艳娇,陶欢欢..基于旋转学习策略的共生生物搜索算法[J].计算机应用研究,2017,34(9):2614-2617,2623,5.基金项目
国家自然科学基金资助项目(61501107) （61501107）
吉林省教育厅“十三五”科学技术研究项目(吉教科合字[2016]第95号) （吉教科合字[2016]第95号）
