Particle swarm optimization method in multiobjective problems
Proceedings of the 2002 ACM symposium on Applied computing
Recent approaches to global optimization problems through Particle Swarm Optimization
Natural Computing: an international journal
Asymptotic convergence of metaheuristics for multiobjective optimization problems
Soft Computing - A Fusion of Foundations, Methodologies and Applications
Multiobjective optimization using dynamic neighborhood particle swarm optimization
CEC '02 Proceedings of the Evolutionary Computation on 2002. CEC '02. Proceedings of the 2002 Congress - Volume 02
MOPSO: a proposal for multiple objective particle swarm optimization
CEC '02 Proceedings of the Evolutionary Computation on 2002. CEC '02. Proceedings of the 2002 Congress - Volume 02
A non-dominated sorting particle swarm optimizer for multiobjective optimization
GECCO'03 Proceedings of the 2003 international conference on Genetic and evolutionary computation: PartI
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For multi-objective optimization algorithms, the maintenance policy of external archive has a great impact on the performance of convergence and solution diversity. Considering the dilemma of large population and external archive, an improved strategy of external archive maintenance based on crowding distance is proposed, which requires less particle numbers and smaller archive size, resulting in the computation cost reduction. Furthermore, the information entropy of gbest is analyzed to emphasize the diversity improvement of non-dominant solutions and well-distribution on the Pareto-optimal front. Numerical experiments of benchmark functions demonstrate the effectiveness and efficiency of proposed multi-objective particle swarm optimization.