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作 者:Lixia Han Shujuan Jiang Shaojiang Lan
机构地区:[1]School of Computer Science and Technology, China University of Mining and Technology
出 处:《Journal of Systems Engineering and Electronics》2015年第1期182-189,共8页系统工程与电子技术(英文版)
基 金:supported by the National Natural Science Foundation of China(60873099);the Fundamental Research Funds for the Central Universities(2011QNA29)
摘 要:As a new-style stochastic algorithm, the electromagnetism-like mechanism(EM) method gains more and more attention from many researchers in recent years. A novel model based on EM(NMEM) for multiobjective optimization problems is proposed, which regards the charge of all particles as the constraints in the current population and the measure of the uniformity of non-dominated solutions as the objective function. The charge of the particle is evaluated based on the dominated concept, and its magnitude determines the direction of a force between two particles. Numerical studies are carried out on six complex test functions and the experimental results demonstrate that the proposed NMEM algorithm is a very robust method for solving the multiobjective optimization problems.As a new-style stochastic algorithm, the electromagnetism-like mechanism(EM) method gains more and more attention from many researchers in recent years. A novel model based on EM(NMEM) for multiobjective optimization problems is proposed, which regards the charge of all particles as the constraints in the current population and the measure of the uniformity of non-dominated solutions as the objective function. The charge of the particle is evaluated based on the dominated concept, and its magnitude determines the direction of a force between two particles. Numerical studies are carried out on six complex test functions and the experimental results demonstrate that the proposed NMEM algorithm is a very robust method for solving the multiobjective optimization problems.
关 键 词:electromagnetism-like mechanism(EM) method multi-objective optimization problem PARTICLE Pareto optimal solutions
分 类 号:O221.6[理学—运筹学与控制论]
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