PSO-Based Multiobjective Optimization With Dynamic Population Size and Adaptive Local Archives

Recently, various multiobjective particle swarm optimization (MOPSO) algorithms have been developed to efficiently and effectively solve multiobjectiv... Space exploration - Computational efficiency - Particle swarm optimization - Heuristic algorithms - Evolutionary computation - Convergence - Algorithm design and analysis - Computational complexity - Measurement - Benchmark testing - computational complexity - particle swarm optimisation - search problems - dynamic population size - adaptive local archive - particle swarm optimization - search space - computational complexity - PSO-based multiobjective optimization - dynamic population strategy - Multiobjective optimization - multiple swarm - particle swarm optimization (PSO) - population size - Algorithms - Artificial Intelligence - Biomimetics - Information Storage and Retrieval - Pattern Recognition, Automated - Population Density - Social Behavior - Multiobjective optimization - multiple swarm - particle swarm optimization (PSO) - population size
Author:  Wen-Fung Leong |  Gary G. Yen

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