Results 221 to 230 of about 18,015 (264)
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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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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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An Improved Particle Swarm Optimization for Continuous Problems
2009 Fifth International Conference on Natural Computation, 2009This paper describes an improved particle swarm optimization (PSO) algorithm that combines stochastic local search (SLS) heuristics,named PSOSLS, to solve costly procedure of search and premature convergence for continuous function optimization problems. The SLS is embedded in the PSO to improve the proposed heuristics. During the global search process,
Ling Hao, Lishuan Hu
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An Improved Particle Swarm Optimization for Complex Optimization Problems
2013An improved particle swarm optimization (IPSO) is proposed where a general center particle is incorporated into particle swarm optimization (PSO) with linearly decreasing inertia weight factor in this paper. The general center particle is formed by the center of the best-found positions of all particles in IPSO.
Kezong Tang, Binxiang Liu, Jia Zhao 0001
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An Improved Particle Swarm Optimization
Applied Mechanics and Materials, 2013By analyzing the current Particle Swarm Optimization, especially the analysis of weighting coefficient descending and random disturbance term improving, an improved Particle Swarm Optimization combining periodic weighting adjustment and random disturbance was put forward and its effectiveness is verified by experiments in this article.
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Improving cascading classifiers with particle swarm optimization
Eighth International Conference on Document Analysis and Recognition (ICDAR'05), 2005This paper addresses the issue of class related reject thresholds for cascading classifier systems. It has been demonstrated in the literature that class related reject thresholds provide an error-reject tradeoff better than a single global threshold. In this work we argue that the error-reject tradeoff yielded by class-related reject thresholds can be
Luiz S. Oliveira +2 more
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An improved particle swarm optimization by hybriding with JADE
2017 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS), 2017To overcome the weakness of particle swarm optimization (PSO), this study proposed an improvement of PSO by hybriding the adaptive differential evolution with optional external archive (JADE), named PSOJADE, to balance the global and local search capabilities. To evaluate the effectiveness of the algorithm, in the experiments, the proposed algorithm is
Sheng-Yong Du, Zhao-Guang Liu
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A New Approach to Improve Particle Swarm Optimization
2003Particle swarm optimization (PSO) is a new evolutionary computation technique. Although PSO algorithm possesses many attractive properties, the methods of selecting inertia weight need to be further investigated. Under this consideration, the inertia weight employing random number uniformly distributed in [0,1] was introduced to improve the performance
Liping Zhang, Huanjun Yu, Shangxu Hu
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An Improved Particle Swarm Algorithms for Global Optimization
2010 International Conference on Machine Vision and Human-machine Interface, 2010Particle swarm optimization (PSO) algorithm is a robust and efficient approach for solving complex real-world problems. In this paper, a modified particle swarm algorithm (IMPSO) is introduced for unconstrained global optimization. The whole swarm is partitioned to three different sub-populations according to their fitness, and different velocity ...
Ye Tian, Dayou Liu
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An improved Particle Swarm Optimization with adaptive jumps
2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence), 2008Particle 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. This paper presents an improved PSO with adaptive jump. The proposed method combines a novel jump strategy and an adaptive Cauchy mutation operator to help escape from local ...
Hui Wang 0002 +5 more
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