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Particle swarm optimization method in multiobjective problems
This paper constitutes a first study of the Particle Swarm Optimization (PSO) method in
Multiobjective Optimization (MO) problems. The ability of PSO to detect Pareto Optimal …
Multiobjective Optimization (MO) problems. The ability of PSO to detect Pareto Optimal …
On the computation of all global minimizers through particle swarm optimization
This paper presents approaches for effectively computing all global minimizers of an
objective function. The approaches include transformations of the objective function through …
objective function. The approaches include transformations of the objective function through …
Opposition-based particle swarm algorithm with Cauchy mutation
Particle swarm optimization (PSO) has shown its fast search speed in many complicated
optimization and search problems. However, PSO could often easily fall into local optima …
optimization and search problems. However, PSO could often easily fall into local optima …
Particle swarm optimization for integer programming
EC Laskari, KE Parsopoulos… - Proceedings of the 2002 …, 2002 - ieeexplore.ieee.org
The investigation of the performance of the particle swarm optimization (PSO) method in
integer programming problems, is the main theme of the present paper. Three variants of …
integer programming problems, is the main theme of the present paper. Three variants of …
A new particle swarm optimization algorithm with adaptive inertia weight based on Bayesian techniques
Particle swarm optimization is a stochastic population-based algorithm based on social
interaction of bird flocking or fish schooling. In this paper, a new adaptive inertia weight …
interaction of bird flocking or fish schooling. In this paper, a new adaptive inertia weight …