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Compact Particle Swarm Optimization
Information Sciences, 2013Some real-world optimization problems are plagued by a limited hardware availability. This situation can occur, for example, when the optimization must be performed on a device whose hardware is limited due to cost and space limitations. This paper addresses this class of optimization problems and proposes a novel algorithm, namely compact Particle ...
Ferrante Neri +2 more
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Individualism of particles in particle swarm optimization
Applied Soft Computing, 2019Abstract The particle swarm optimization (PSO) method is an effective, nature-inspired, computational algorithm for optimization problems. However, the influence of individuals’ cultural orientations is neglected in particle swarms. Individualist and collectivist orientations have an important influence on optimization.
Kun Miao, Xiaolin Mao, Chen Li
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Grey particle swarm optimization
Applied Soft Computing, 2012With the help of grey relational analysis, this study attempts to propose two grey-based parameter automation strategies for particle swarm optimization (PSO). One is for the inertia weight and the other is for the acceleration coefficients. By the proposed approaches, each particle has its own inertia weight and acceleration coefficients whose values ...
Min-Shyang Leu, Ming-Feng Yeh
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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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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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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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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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