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A hierarchical particle swarm optimizer
The 2003 Congress on Evolutionary Computation, 2003. CEC '03., 2004A hierarchical version of the particle swarm optimization method called H-PSO is introduced. In H-PSO the particles are arranged in a dynamic hierarchy that is used to define a neighborhood structure. Depending on the quality of their so far best found solution the particles move up or down the hierarchy so that good particles have a higher influence ...
Stefan Janson, Martin Middendorf
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Adaptive particle swarm optimization
SMC'03 Conference Proceedings. 2003 IEEE International Conference on Systems, Man and Cybernetics. Conference Theme - System Security and Assurance (Cat. No.03CH37483), 2004The particle swarm optimization (PSO) method is one of the most powerful methods for solving unconstrained and constrained global optimization problems. Little is, however, known about how the PSO method works or finds a globally optimal solution of a global optimization problem when the method is applied to global optimization problems.
Keiichiro Yasuda +2 more
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Particle Swarm Optimization Programming
2010 International Conference on Computational Aspects of Social Networks, 2010PSO is a parallel stochastic optimization algorithm with advantages of less parameters and high efficiency. This paper describes the programming problem in the method of two linear tables with discrete and continuous quantity, then uses discrete PSO algorithm to discrete optimization and continuous PSO to optimize continuous quantity in the solving ...
Xiaojun Wu, Ming Zhao, Yaohong Qu
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Ecosystem particle swarm optimization
Soft Computing, 2016Particle swarm optimization (PSO) is a well-known swarm intelligence algorithm inspired by the foraging behavior of bird flocking. PSO has been widely used in many optimization and engineering problems due to its simplicity and efficiency, even though there still exist some disadvantages.
Jiao Liu, Di Ma, Teng-bo Ma, Wei Zhang
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Optimizing Particle Swarm Optimization algorithm
2014 IEEE 27th Canadian Conference on Electrical and Computer Engineering (CCECE), 2014Particle Swarm Optimization (PSO) algorithm has become more popular recently. It has been shown to be an effective optimization tool in most of the applications. In this paper, we have applied the PSO algorithm to a sample Artificial Neural Network (ANN) application, measured the improvement, and optimized the PSO parameters to improve results as much ...
Iraj Koohi, Voicu Z. Groza
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Resampling in Particle Swarm Optimization
2013 IEEE Congress on Evolutionary Computation, 2013Particle Swarm Optimization (PSO) is a population-based algorithm designed to find good solutions to optimization problems. Its characteristics have encouraged its adoption to tackle a variety of problems in different fields. However, when such problems are subject to noise, the performance of PSO suffers an immediate deterioration which demands the ...
Juan Rada-Vilela +2 more
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Simplifying Particle Swarm Optimization
Applied Soft Computing, 2010The general purpose optimization method known as Particle Swarm Optimization (PSO) has received much attention in past years, with many attempts to find the variant that performs best on a wide variety of optimization problems. The focus of past research has been with making the PSO method more complex, as this is frequently believed to increase its ...
M. E. H. Pedersen +1 more
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Particle Swarm Optimization on a GPU
2012 IEEE International Conference on Electro/Information Technology, 2012Optimization problems that contain discontinuities, non-linearity, or high dimensionality are difficult to solve and time consuming using conventional computational methods. This paper introduces a tool that solves these kinds of optimization problems using a patent pending Gaming Particle Swarm Optimization (GPSO) algorithm implemented on Graphics ...
Mikhail Rabinovich +5 more
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Particle Swarm Optimizer for constrained optimization
2013 IEEE Congress on Evolutionary Computation, 2013Recently, Particle Swarm Optimizer (PSO) has become a popular tool for solving constrained optimization problems. However, there is no guarantee that PSO will perform consistently well for all problems and will not be trapped in local optima. In this paper, a PSO algorithm is introduced that uses two new mechanisms, the first one to maintain a better ...
Samir M. Mohamed Elsayed +2 more
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Particle Swarm Optimization with Opposite Particles
2005The particle swarm optimization algorithm is a kind of intelligent optimization algorithm. This algorithm is prone to be fettered by the local optimization solution when the particle's velocity is small. This paper presents a novel particle swarm optimization algorithm named particle swarm optimization with opposite particles which is guaranteed to ...
Rujing Wang, Xiaoming Zhang
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