Multiobjective Estimation of Distribution Algorithm Combined with PSO for RFID Network Optimization
A new multi-objective estimation of distribution algorithm combined with PSO by using a Pareto-based method is proposed and applied in RFID network design.In the algorithms offspring generation scheme, one part of individuals is sampled in the search space from the constructed probabilistic distribution model and the other part individuals are generated by the velocity-free PSO. A balance parameter is used to control contributions of the global information from EDA individuals and the local information from velocity-free PSO individuals. The nondominated sorting and ranking selection procedure are applied to constitute a nondominated solution set from the current population. The proposed algorithm is applied to some benchmark functions and a RFID network design problem. The relative experimental results show that the algorithm has better performance than some algorithms and is effective in the design of RFID networks.
multi-objective optimizatio EDA velocity-free PSO RFID network
Ying Gao Xiao Hu Huiliang Liu Yuanyong Feng
Department of Computer Science and Technology, Guangzhou University Guangzhou, 510006, P.R. of China
国际会议
长沙
英文
1861-1864
2010-03-13（万方平台首次上网日期，不代表论文的发表时间）