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A hybrid vertical mutation and self-adaptation based MOPSO
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Supply chain modeling in uncertain environment with bi-objective approach
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Multi-objective particle swarm optimization algorithm based on game strategies
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Chaos Cultural Particle Swarm Optimization and Its Application
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A Particle Swarm Optimization Algorithm Based on Genetic Selection Strategy
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Training approaches in neural enhancement for multiobjective optimization
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A multi-objective particle swarm optimization for project selection problem
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A memory-based colonization scheme for particle swarm optimization
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Empirical comparison of MOPSO methods: guide selection and diversity preservation
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LoCost: a spatial social network algorithm for multi-objective optimisation
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A non-dominated sorting particle swarm optimizer for multiobjective optimization
GECCO'03 Proceedings of the 2003 international conference on Genetic and evolutionary computation: PartI
An improved multi-objective particle swarm optimization algorithm
ISICA'07 Proceedings of the 2nd international conference on Advances in computation and intelligence
Metaheuristic approaches for optimal broadcasting design in metropolitan MANETs
EUROCAST'07 Proceedings of the 11th international conference on Computer aided systems theory
An improved multi-objective particle swarm optimizer for multi-objective problems
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A modified particle swarm optimizer for engineering design
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A Novel Particle Swarm Optimization Algorithm for Multi-Objective Combinatorial Optimization Problem
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Proceedings of the 15th annual conference on Genetic and evolutionary computation
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A hybrid intelligent data classification algorithm
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Engineering Applications of Artificial Intelligence
Multi-objective PSO algorithm for mining numerical association rules without a priori discretization
Expert Systems with Applications: An International Journal
SERVICE COST AND UTILIZATION RATE OPTIMIZATION IN SERVICE SYSTEMS
Journal of Integrated Design & Process Science
Computational Optimization and Applications
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This paper introduces a proposal to extend the heuristic called "particle swarm optimization" (PSO) to deal with multiobjective optimization problems. Our approach uses the concept of Pareto dominance to determine the flight direction of a particle and it maintains previously found nondominated vectors in a global repository that is later used by other particles to guide their own flight. The approach is validated using several standard test functions from the specialized literature. Our results indicate that our approach is highly competitive with current evolutionary multiobjective optimization techniques.