Multiobjective Bio-inspired Algorithm Based on Membrane Computing
This paper presents a new multiobjective bio-inspired algorithm based on membrane computing (MOBIAMC). Similar to the single objective bio-inspired algorithm based on membrane computing (BIAMC),MOBIAMC has a netted membrane structure. Most rules are different from those used in BIAMC. The proposed algorithm applies no operations on keeping the uniformity and variety of candidate solution set or non-dominate solution set in the process of approaching to the true Pareto-optimal front due to its parallel and distributed computation. The comparisons with some multiobjective evolutionary algorithms illuminate that the proposed algorithm is simple and computes fast with high precision in approaching to the true Pareto-optimal fronts of eight benchmark multiobjective optimization functions.
membrane computing multiobjective optimization Pareto optimality benchmark functions
Jinhui Zhao Ning Wang Ping Zhou
State Key Laboratory of Synthetical Automation for Process Industries,Northeastern University,Shenya National Laboratory of Industrial Control Technology,Institute of Cyber-Systems and Control,Zhejiang State Key Laboratory of Synthetical Automation for Process Industries,Northeastern University,Shenya
国际会议
西安
英文
2699-2703
2011-12-23（万方平台首次上网日期，不代表论文的发表时间）