SMPSO
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Software:35562
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Related Items (25)
Testing of a spreading mechanism to promote diversity in multi-objective particle swarm optimization ⋮ A new evolutionary algorithm based on contraction method for many-objective optimization problems ⋮ Enhancing quantum efficiency of thin-film silicon solar cells by Pareto optimality ⋮ An algorithm based on particle swarm optimization for multiobjective bilevel linear problems ⋮ A novel multi-objective particle swarm optimization with multiple search strategies ⋮ Optimization of facility location and size problem based on bi-level multi-objective programming ⋮ A comparative study on multiobjective metaheuristics for solving constrained in-core fuel management optimisation problems ⋮ A many-objective particle swarm optimizer based on indicator and direction vectors for many-objective optimization ⋮ Utilizing expected improvement and generalized data envelopment analysis in multi-objective genetic algorithms ⋮ A new hypervolume-based differential evolution algorithm for many-objective optimization ⋮ Multiobjective variable mesh optimization ⋮ A diversity enhanced multiobjective particle swarm optimization ⋮ A novel multi-objective evolutionary algorithm with fuzzy logic based adaptive selection of operators: FAME ⋮ Generation of Pareto optimal solutions using generalized DEA and PSO ⋮ Many-objective optimization using adaptive differential evolution with a new ranking method ⋮ An improved multiobjective PSO for the scheduling problem of panel block construction ⋮ A novel wind speed forecasting model based on moving window and multi-objective particle swarm optimization algorithm ⋮ On the Velocity Update in Multi-Objective Particle Swarm Optimizers ⋮ An adaptive hybrid evolutionary immune multi-objective algorithm based on uniform distribution selection ⋮ On convergence of the multi-objective particle swarm optimizers ⋮ Convergence speed in multi-objective metaheuristics: Efficiency criteria and empirical study ⋮ A novel multiobjective quantum-behaved particle swarm optimization based on the ring model ⋮ A hybrid particle swarm approach based on Tribes and tabu search for multi-objective optimization ⋮ Adaptive multi-objective particle swarm optimization using three-stage strategy with decomposition ⋮ Handling many-objective optimisation problems with R2 indicator and decomposition-based particle swarm optimiser
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