DISTRIBUTED AGENT BASED COOPERATIVE DIFFERENTIAL EVOLUTION:A MASTER-SLAVE MODEL
The paper proposes a distributed computing framework that integrates parallel differential evolution (DE) and multi-agents.Given a complex high-dimensional optimization problem,our approach decomposes the problem into a set of subcomponents,which are evolved by a set of Slave agents concurrently,and the results are synthesized and further evolved by a Master agent.As top-level agents of the framework,the Master and Slave agents can be divided into asynchronous teams of sub-agents including Constructors for solution initialization,Improvers for solution evolution,Repairers for constraint handling,Destroyers for keeping the quality and size of the population,etc.,which share populations of solution vectors and cooperate to solve the problem efficiently.The proposed approach is highly parallelized,flexible,and scalable,and its efficiency is demonstrated by comparison with some state-of-the-art approaches.
Agent Differential evolution (DE) Master-slave model Distributed computing
Yujun Zheng Xinli Xu Shengyong Chen Wanliang Wang
College of Computer Science and Technology,Zhejiang University of Technology,Hangzhou 310023,China
国际会议
杭州
英文
494-498
2012-10-30（万方平台首次上网日期，不代表论文的发表时间）