P Systems Based Multi-Objective Optimization Algorithm
Based on P systems,this paper proposes a new multi-objective optimization algorithm (PMOA).Similar to P systems,PMOA has a cell-like structure.Their structure is dynamic and its membranes merge and divide at different stages.The key rule of a membrane is the communication rule which is derived from P systems.Mutation rules are important for the algorithm,which has different ranges of mutation in different membranes.The cooperation of the two rules contributes to the diversity of the population,the conquest of the multimodal of objective function and the convergence of algorithm.Moreover,the unique structure divides the whole population into several subpopulations,which decrease the computational complex ity.Almost a dozen popular algorithms are compared using several test problems.Simulation results illustrate that the PMOA has the best performance.Its solutions are closer to the true Pareto-optimal front and distribute well.Moreover,it converges fast.
Liang Huang Xiong-Xiong He Ning Wang Yi Xie
National Laboratory of Industrial Control Technology Institute of Advanced Process Control Zhejiang Zhejiang University of Technology,Hangzhou 310014,P.R. China
国际会议
武汉
英文
113-123
2006-09-18（万方平台首次上网日期，不代表论文的发表时间）