Dimensionality Reduction Symmetrical PSO Algorithm Characterized by Heuristic Detection and Self-learning
具有启发式探测及自学习特征的降维对称微粒群算法

A novel Symmetrical PSO algorithm(SymPSO-HD) was proposed to improve the search ability of PSO algorithm.To initialize the cluster effectively,population scatter entropy strategy was introduced.In order to improve the particle's position vector,a special kind of particle characterized by detection was proposed too.And to enhance the particle's learning ability both in local and global domain,we put forward the clone-mutation-selection strategy in neighborhood and the dimensionality reduction symmetrical str...