| 基于旋转学习策略的共生生物搜索算法 |
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| 引用本文： | 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). |
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| 作者姓名： | 王艳娇 陶欢欢 |
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| 作者单位： | 东北电力大学信息工程学院 吉林 吉林 132012,东北电力大学信息工程学院 吉林 吉林 132012 |
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| 基金项目： | 国家自然科学基金“面向三维有向感知模型的无线多媒体传感器网络智能覆盖控制方法研究“(NO.61501107)； |
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| 摘 要： | 为提高共生生物搜索算法(Symbiotic Organisms Search, SOS)的性能,提出一种基于旋转学习策略的共生生物搜索算法(Symbiotic Organisms Search Using Rotation-Based Learning, RSOS)。该算法将串行个体更新方式改为并行种群更新方式,提高算法收敛速度；引入遍历保优的旋转学习策略,代替寄生机制的盲目随机搜索,增大保留新个体的概率,补充种群多样性,提高算法跳出局部最优的能力。对于8个标准测试函数仿真表明,RSOS算法较基本SOS算法在收敛速度、收敛精度及稳定性上得到了明显提升。
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| 关 键 词： | 共生生物搜索算法 旋转学习 函数优化 |
| 收稿时间： | 2016/6/17 0:00:00 |
| 修稿时间： | 2017/6/3 0:00:00 |
A symbiotic organisms search using rotation-based learning.Computer Engineering and Applications |
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| Wang Yanjiao and Tao Huanhuan.A symbiotic organisms search using rotation-based learning.Computer Engineering and Applications[J].Application Research of Computers,2017,34(9). |
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| Authors: | Wang Yanjiao and Tao Huanhuan |
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| Affiliation: | Department of Information Engineering,Northeast Dianli University,Jilin City,Jilin Province 132012, |
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| Abstract: | In order to improve the performance of Symbiotic Organisms Search 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. |
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| Keywords: | symbiotic organisms search algorithm rotation-based learning function optimization |
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