计算机工程与应用
計算機工程與應用
계산궤공정여응용
COMPUTER ENGINEERING AND APPLICATIONS
2010年
2期
31-33
,共3页
微粒群优化%惯性权重%算法性能
微粒群優化%慣性權重%算法性能
미립군우화%관성권중%산법성능
Particle Swarm Optimization(PSO)%inertia weight%optimization performance
基于惯性权重对微粒群优化算法(Particle Swarm Optimization,PSO)优化性能的显著影响,提出了一种改变惯性权重的方法以改进PSO算法的优化性能.算法中惯性权重的动态改变是通过对其进行PSO寻优来控制的.经过对标准函数的测试计算,无论是二维还是多维的问题,这种改变惯性权重的PSO算法的寻优结果的准确度和精度均得以提高,收到了良好的效果,尤其在高维情况下,显示出算法性能得到了明显改善.
基于慣性權重對微粒群優化算法(Particle Swarm Optimization,PSO)優化性能的顯著影響,提齣瞭一種改變慣性權重的方法以改進PSO算法的優化性能.算法中慣性權重的動態改變是通過對其進行PSO尋優來控製的.經過對標準函數的測試計算,無論是二維還是多維的問題,這種改變慣性權重的PSO算法的尋優結果的準確度和精度均得以提高,收到瞭良好的效果,尤其在高維情況下,顯示齣算法性能得到瞭明顯改善.
기우관성권중대미립군우화산법(Particle Swarm Optimization,PSO)우화성능적현저영향,제출료일충개변관성권중적방법이개진PSO산법적우화성능.산법중관성권중적동태개변시통과대기진행PSO심우래공제적.경과대표준함수적측시계산,무론시이유환시다유적문제,저충개변관성권중적PSO산법적심우결과적준학도화정도균득이제고,수도료량호적효과,우기재고유정황하,현시출산법성능득도료명현개선.
Based on the prominent effect of inertia weight to the performance of particle swarm optimization,a new PSO method with dynamically adjusted inertia weight is proposed.In this improved PSO method,the inertia weight is controlled by PSO opti-mization.Numerical results show the effectiveness of the proposed algorithm.Either to two dimension or to high dimension,both the accuracy and precision are improved.Especially for high dimension, performance of the algorithm is bettered distinctly.
