Results 11 to 20 of about 82,097 (301)
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 +11 more
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EURASIP Journal on Wireless Communications and Networking, 2020 In order to improve the adaptive management ability of virtual machine placement in cloud computing, an adaptive management and multi-objective optimization method for virtual machine placement in cloud computing is proposed based on particle swarm ...
Shuxiang Li, Xianbing Pan
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Sensors, 2017 Localization is a key technology in wireless sensor networks. Faced with the challenges of the sensors’ memory, computational constraints, and limited energy, particle swarm optimization has been widely applied in the localization of wireless sensor ...
Huanqing Cui +3 more
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Multi-robot path planning using an improved self-adaptive particle swarm optimization
International Journal of Advanced Robotic Systems, 2020 Path planning is of great significance in motion planning and cooperative navigation of multiple robots. Nevertheless, because of its high complexity and nondeterministic polynomial time hard nature, efficiently tackling with the issue of multi-robot ...
Biwei Tang +3 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 +7 more
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Application of improved particle swarm optimization algorithm in TDOA
AIP Advances, 2022 In order to improve the location accuracy of passive sound source location technology in a complex environment, an improved particle swarm optimization algorithm is proposed.
Zhen-dong Liang, Wen-jun Yi
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Step-optimized Particle Swarm Optimization [PDF]
2012 IEEE Congress on Evolutionary Computation, 2012 Recent developments of Particle Swarm Optimization (PSO) have successfully trended towards Adaptive PSO (APSO). APSO changes its behavior during the optimization process based on information gathered at each iteration. It has been shown that APSO is able to solve a wide range of difficult optimization problems efficiently and effectively.
Thomas Schoene +2 more
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A review of velocity-type PSO variants
Journal of Algorithms & Computational Technology, 2017 This paper presents a review of the particular variants of particle swarm optimization, based on the velocity-type class. The original particle swarm optimization algorithm was developed as an unconstrained optimization technique, which lacks a model ...
Ivo Sousa-Ferreira, Duarte Sousa
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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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