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| 免疫粒子群优化算法及性能分析 | |
| 引用本文： | 夏平平,吕太之,贾岩峰.免疫粒子群优化算法及性能分析[J].贵州大学学报(自然科学版),2011,28(5):104-107. |
| 作者姓名： | 夏平平 吕太之 贾岩峰 |
| 作者单位： | 1. 江苏海事职业技术学院信息工程系,江苏南京,211170 2. 南京理工大学计算机科学与技术学院,江苏南京,210094 3. 东北电力大学信息工程学院,吉林吉林 |
| 基金项目： | 江苏省教育厅高校科研成果产业化推进项目资助(项目编号:2011-28) |
| 摘 要： | 针对基本粒子群算法的容易陷入局部极小值,搜索精度不高等缺点,将免疫算法和粒子群优化算法(Particle Swarm Optimization,PSO算法)相结合,并加以改进,利用免疫算法能够保持个体多样性的特点,可使粒子群优化算法.达到摆脱局部极值点能力,从而提高算法进化过程中的收敛精度和速度.使用四个经典的测试函数... |
| 关 键 词： | 人工免疫:粒子群优化 免疫算法 性能 |
Performance Analysis of Immune Particle Swarm Optimization Algorithm |
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| XIA Ping-ping,LV Tai-zhi,JIA Yan-feng.Performance Analysis of Immune Particle Swarm Optimization Algorithm[J].Journal of Guizhou University(Natural Science),2011,28(5):104-107. | |
| Authors: | XIA Ping-ping LV Tai-zhi JIA Yan-feng |
| Institution: | XIA Ping-ping1,LV Tai-zhi2,JIA Yan-feng3(1.Department of Information Engineering,Jiangsu Maritime Institute,Nanjing 211170,China,2.College of Computer Science,Nanjing University of Science and Technology,Nanjing 210094,3.College of Information Engineering,Northeast Dianli University,Jilin 132012,China) |
| Abstract: | Particle swarm optimization is easy to fall into the local minimum value and the search accuracy is not high.The immune algorithm and particle swarm optimization(Particle Swarm Optimization,PSO algorithm) are combined to make the improvement,the immune algorithm was used to maintain diversity of individuals characteristics,making the PSO algorithm achieve the ability to get rid of local extreme points,improving algorithm convergence precision and speed in the evolutionary process.And the four classical test... |
| Keywords: | artificial immune particle swarm optimization(PSO) immune algorithm performance |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |