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| 基于粗细粒交叉的搜索算法 | |
| 引用本文： | 周晖,李丹美,徐晨,邵世煌,袁从明.基于粗细粒交叉的搜索算法[J].控制与决策,2008,23(9). |
| 作者姓名： | 周晖 李丹美 徐晨 邵世煌 袁从明 |
| 作者单位： | 1. 东华大学信息科学与技术学院,上海,201620;南通大学电子信息学院,江苏,南通,226019 2. 东华大学信息科学与技术学院,上海,201620 3. 南通大学电子信息学院,江苏,南通,226019 |
| 基金项目： | 国家自然科学基金，江苏省高校自然科学基金 |
| 摘 要： | 针对一种新的群集智能--自由搜索优化的不足,提出了基于粗细粒交叉的搜索算法.该算法定义了粗粒交叉和细粒交叉两种算子.通过粗粒交叉,有利于产生新的优秀个体.提高算法的全局搜索能力}采用细粒交叉,在搜索半径内产生更多的优良基园,提高局部搜索能力.典型函数的实验结果表明:新算法的收敛速度、收敛精度,鲁棒性和稳定性大大优于基本自由搜索优化和标准微粒群算法. |
| 关 键 词： | 群集智能 自由搜索优化 微粒群算法 交叉 遗传算法 |
Free search algorithm based on coarse-grained and fine-grained crossover |
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| ZHOU Hui,LI Dan-mei,XU Chen,SHAO Shi-huang,YUAN Cong-ming.Free search algorithm based on coarse-grained and fine-grained crossover[J].Control and Decision,2008,23(9). | |
| Authors: | ZHOU Hui LI Dan-mei XU Chen SHAO Shi-huang YUAN Cong-ming |
| Affiliation: | ZHOU Hui1,2,LI Dan-mei1,XU Chen2,SHAO Shi-huang1,YUAN Cong-ming2(1.College of Information Science , Technology,Donghua University,Shanghai 201620,China,2.School of Electronics , Information,Nantong University,Nantong 226019,China.) |
| Abstract: | A novel free search algorithm based on coarse-grained and fine-grained cossover is proposed by combining free search with genetic algorithm.The algorithm defines two basis operators including coarse-grained cossover and fine-grained cossover.The operators of coarse-grained cossover make the algorithm obtain strong global exploring ability,and the operators of fine-grained cossover make the algorithm have strong local searching ability.Experimental results show that the convergence speed,the convergence prob... |
| Keywords: | Swarm intelligence Free search(FS) Particle swarm optimization(PSO) Crossover Genetic algorithm |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |