Based on an Alopex optimization algorithm and a response surface model(RSM),a hybrid sub-region methodology is presented to solve the optimal design problems of permanent magnet(PM)machines.The Alopex optimization met...
Project(2013CB733600) supported by the National Basic Research Program of China;Project(21176073) supported by the National Natural Science Foundation of China;Project(20090074110005) supported by Doctoral Fund of Ministry of Education of China;Project(NCET-09-0346) supported by Program for New Century Excellent Talents in University of China;Project(09SG29) supported by "Shu Guang", China
To solve dynamic optimization problem of chemical process (CPDOP), a hybrid differential evolution algorithm, which is integrated with Alopex and named as Alopex-DE, was proposed. In Alopex-DE, each original individua...
Projects(20976048, 21176072) supported by the National Natural Science Foundation of China;Project provided by the Fundamental Research Fund for Central Universities
In this work, focusing on the demerit of AEA (Alopex-based evolutionary algorithm) algorithm, an improved AEA algorithm (AEA-C) which was fused AEA with clonal selection algorithm was proposed. Considering the irratio...
构造了一种基于Alopex(Algorithm of pattern extraction)和分布估计算法(Estimation of distribution algorithm,EDA)相融合的进化算法EDA-Alopex。该算法将分布估计算法嵌入到一种基于Alopex的群智能进化算法(Alopex-based evolutiona...