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Crossed Particle Swarm Optimization Algorithm
2006The particle swarm optimization (PSO) algorithm presents a new way for finding optimal solutions of complex optimization problems. In this paper a modified particle swarm optimization algorithm is presented. We modify the PSO algorithm in some aspects.
Tengbo Chen +3 more
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An Emotional Particle Swarm Optimization Algorithm
2005This paper presents a modification of the particle swarm optimization algorithm (PSO) intended to introduce some psychology factor of emotion into the algorithm. In the new algorithm, which is based on a simple perception and emotion psychology model, each particle has its own feeling and reaction to the current position, and it also has specified ...
Ge Yang 0005, Rubo Zhang
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Constrained optimization with an improved particle swarm optimization algorithm
International Journal of Intelligent Computing and Cybernetics, 2008PurposeThe purpose of this paper is to present a new constrained optimization algorithm based on a particle swarm optimization (PSO) algorithm approach.Design/methodology/approachThis paper introduces a hybrid approach based on a modified ring neighborhood with two new perturbation operators designed to keep diversity.
Angel Eduardo Muñoz-Zavala +3 more
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Chaos Particle Swarm Optimization Algorithm for Optimization Problems
International Journal of Pattern Recognition and Artificial Intelligence, 2018A chaos particle swarm optimization (CPSO) algorithm based on the chaos operator (CS) is proposed for global optimization problems and parameter inversion of the nonlinear sun shadow model in our study. The CPSO algorithm combines the local search ability of CS and the global search ability of PSO algorithm.
Wenbin Liu +3 more
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Two Sub-swarms Particle Swarm Optimization Algorithm
2005This paper proposes a two sub-warms particle swarm optimization algorithm (TSPSO) and its iteration equations. The new algorithm assumes that particles are divided into two sub-swarms. The two sub-swarms have different move directions. One sub-swarm moves toward the global best position. Another moves in the opposite direction.
Guochu Chen, Jinshou Yu
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The Culture-Based Particle Swarm Optimization Algorithm
2008 Fourth International Conference on Natural Computation, 2008The particle swarm optimization algorithm based on the intelligent optimization algorithm. But the algorithm easily plunging into the local optimization. For this problem, a new culture-based particle swarm optimization algorithm is proposed in this paper. It constitute with the population space and the belief space. Each space has their own algorithm.
Yun Huang, Yufa Xu, Guochu Chen
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An improved particle swarm optimization algorithm with disturbance
2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583), 2005The impacts of constant parameters on particle swarm optimization are discussed. A velocity or position disturbance is introduced to prevent premature phenomenon of the original algorithm. A valve is introduced and the selection criteria are discussed. Simulations have been carried and the results show this improved algorithm has better performance by ...
Wei Jian, Yuncan Xue, Jixin Qian
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Limiting the Velocity in the Particle Swarm Optimization Algorithm
Computación y Sistemas, 2016Velocity in the Particle Swarm Optimization algorithm (PSO) is one of its major features, as it is the mechanism used to move (evolve) the position of a particle to search for optimal solutions. The velocity is commonly regulated, by multiplying a factor to the particle’s velocity.
Julio Barrera +3 more
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Particle Swarm Optimization Algorithm as a Tool for Profile Optimization
International Journal of Natural Computing Research, 2015Complex analytical environment is challenging environment for finding customer profiles. In situation where predictive model exists like Bayesian networks challenge became even bigger regarding combinatory explosion. Complex analytical environment can be caused by multiple modality of output variable, fact that each node of Bayesian network can ...
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A Self-Adaptive Particle Swarm Optimization Algorithm
2008 International Conference on Computer Science and Software Engineering, 2008To combat the problem of premature convergence observed in many applications of PSO, a novel self-adaptive particle swarm optimization algorithm-SAPSO is proposed in this paper. There exist two states for each particle in the SAPSO algorithm and a metric to measure a particlepsilas activity is defined which is used to choose which state it would reside.
Xiufen Li +2 more
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