Parallel Learning Evolutionary Algorithm Based on Neural Network Ensemble

摘要：

A new parallel evolutionary algorithm based on neural network (NN) ensemble is proposed for mobile robots.The robot controller has a reconfigurable structure with userdefined sensor suite, which corresponds to a typical network.NN ensemble is evolved to optimize the optimal sub-networks including both learning rules and combining weights dynamically. The experiment results show that the genetic algorithm based NN ensemble has stronger evolutionary capacity and higher learning efficiency of parallelism compared with the general genetic algorithm.

关键词： Neural network ensemble evolutionary algorithm parallel.

作者: Sha Xiao Dong Yu Yibin Li

作者单位: School of Control Science and Engineering Shandong University Jinan, Shandong Province, China

会议类型: 国际会议

会议名称: 2006 IEEE International Conference on Information Acquisition

会议地点: 山东威海

会议语种:英文

页码: 70-74

在线出版日期: 2006-08-20（万方平台首次上网日期，不代表论文的发表时间）