Results 21 to 30 of about 2,957,454 (293)

MUCPSO: A Modified Chaotic Particle Swarm Optimization with Uniform Initialization for Optimizing Software Effort Estimation

Applied Sciences, 2022
Particle Swarm Optimization is a metaheuristic optimization algorithm widely used across a broad range of applications. The algorithm has certain primary advantages such as its ease of implementation, high convergence accuracy, and fast convergence speed.
Ardiansyah Ardiansyah, Ridi Ferdiana, Adhistya Erna Permanasari   +2 more
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Overview of multiobjective particle swarm optimization algorithm

工程科学学报, 2021
In the real world, the development model of optimization problems tends to be diversified and large scale. Therefore, optimization technologies are facing severe challenges in terms of nonlinearity, multi-dimensionality, intelligence, and dynamic ...
Qian FENG, Qing LI, Wei QUAN, Xuan-mo PEI   +3 more
doaj   +1 more source

Particle filter with swarm move for optimization [PDF]

, 2008
Copyright @ Springer-Verlag Berlin Heidelberg 2008.We propose a novel generalized algorithmic framework to utilize particle filter for optimization incorporated with the swarm move method in particle swarm optimization (PSO).
Yang, S, Ji, Chunlin, Ji, C, Shengxiang Yang, Zhang, Yangyang, Tong, Mengmeng, Tong, M, Mengmeng Tong, Yang, Shengxiang, Zhang, Y, Chunlin Ji, Yangyang Zhang   +11 more
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Orthogonal learning particle swarm optimization [PDF]

, 2010
Particle swarm optimization (PSO) relies on its learning strategy to guide its search direction. Traditionally, each particle utilizes its historical best experience and its neighborhood’s best experience through linear summation.
Zhi-hui Zhan, Jun Zhang, Yu-hui Shi, Zhan, Z-H., Yun Li, Li, Y., Shi, Y-H., Zhang, J.   +7 more
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An Estimation of Distribution Particle Swarm Optimization Algorithm [PDF]

, 2006
In this paper we present an estimation of distribution par-ticle swarm optimization algorithm that borrows ideas from recent de-velopments in ant colony optimization.
Iqbal, Mudassar, Montes De Oca Roldan, Marco, Marco A. Montes de Oca, Mudassar Iqbal, de Oca, Marco A. Montes, Iqbal, Musaddar   +5 more
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A self-learning particle swarm optimizer for global optimization problems [PDF]

, 2011
Copyright @ 2011 IEEE. All Rights Reserved. This article was made available through the Brunel Open Access Publishing Fund.Particle swarm optimization (PSO) has been shown as an effective tool for solving global optimization problems.
Yang, S, Li, Changhe, Nguyen, T. T., null Changhe Li, null Shengxiang Yang, Nguyen, T T, Yang, Shengxiang, Li, C, null Trung Thanh Nguyen   +8 more
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Automatic Generation Method of Test Case Based on RACPSO [PDF]

Jisuanji gongcheng, 2016
To solve the problem of slow convergence rate,high possibilities of being trapped in local optimum,and low solution accuracy in Particle Swarm Optimization(PSO) algorithm when applied to automatic software Test Case(TC) generation,this paper presents an ...
HE Ying,XU Weihong,LI Yanglin
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Learning Competitive Swarm Optimization

Entropy, 2022
Particle swarm optimization (PSO) is a popular method widely used in solving different optimization problems. Unfortunately, in the case of complex multidimensional problems, PSO encounters some troubles associated with the excessive loss of population ...
Bożena Borowska
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Particle swarm optimization with composite particles in dynamic environments [PDF]

, 2010
This article is placed here with the permission of IEEE - Copyright @ 2010 IEEEIn recent years, there has been a growing interest in the study of particle swarm optimization (PSO) in dynamic environments.
Yang, S, Yang, Shengxiang, Wang, D, Liu, L   +3 more
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Improved quantum-behaved particle swarm optimization with local search strategy

Journal of Algorithms & Computational Technology, 2017
Quantum-behaved particle swarm optimization, which was motivated by analysis of particle swarm optimization and quantum system, has shown compared performance in finding the optimal solutions for many optimization problems to other evolutionary ...
Maolong Xi, Xiaojun Wu, Xinyi Sheng, Jun Sun, Wenbo Xu   +4 more
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