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| 改进的粒子群算法 | |
| 引用本文： | 宋继红. 改进的粒子群算法[J]. 长春大学学报, 2011, 0(10): 8-11 |
| 作者姓名： | 宋继红 |
| 作者单位： | 长春大学电子信息工程学院; |
| 摘 要： | 为了改善基本粒子群算法的搜索性能,针对粒子群算法随机性较强,收敛较慢的问题,提出了基于退火思想的改进的粒子群优化算法,新的算法更有利于粒子发现问题的全局最优解。通过对经典函数的测试计算,验证了方法的正确性和有效性。 |
| 关 键 词： | 粒子群算法 模拟退火 优化 |
Improved Particle Swarm Optimization |
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| SONG Ji-hong. Improved Particle Swarm Optimization[J]. Journal of Changchun University, 2011, 0(10): 8-11 | |
| Authors: | SONG Ji-hong |
| Affiliation: | SONG Ji-hong(College of Electronic Information Engineering,Changchun University,Changchun 130022,China) |
| Abstract: | To improve the searching performance of particle swarm optimization,in accordance with problems of the strong randomness and slow convergence of the original algorithms,this paper presents an annealing-based improved particle swarm optimization,which is helpful for searching the global optimal solution.Through measuring and calculating classical functions,it is shown that the method is efficient and feasible. |
| Keywords: | particle swarm optimization simulation annealing optimization |
| 本文献已被 CNKI 维普 等数据库收录！ | |