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Particle swarm optimization [PDF]
Scholarpedia, 2008 In this work is presented one newer method for optimization of continuous functions which belongs to the heuristic stochastic methods, i.e. to the methods of so called swarm intelligence. This method is mathematically and algorithmically very simple and might be applied successfully for solving a large number of nonlinear optimization problems with and
Praščević, Živojin +1 more
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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 +2 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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Human Head Tracking Based on Particle Swarm Optimization and Genetic Algorithm [PDF]
, 2007 This paper compares particle swarm optimization and a genetic algorithm for perception by a partner robot. The robot requires visual perception to interact with human beings.
Kubota, Naoyuki, Sulistijono, Indra Adji
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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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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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Particle Swarm Optimization [PDF]
, 2017 Optimization algorithms are necessary to solve many problems such as parameter tuning. Particle Swarm Optimization (PSO) is one of these optimization algorithms. The aim of PSO is to search for the optimal solution in the search space. This paper highlights the basic background needed to understand and implement the PSO algorithm.
Tharwat, A +3 more
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Discrete Particle Swarm Optimization for the minimum labelling Steiner tree problem [PDF]
, 2008 Particle Swarm Optimization is an evolutionary method inspired by the social behaviour of individuals inside swarms in nature. Solutions of the problem are modelled as members of the swarm which fly in the solution space.
AS Tanenbaum +19 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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Research on Bearing Fault Diagnosis Method Based on IPSO-RVM
Journal of Harbin University of Science and Technology, 2022 Aiming at the problems of poor classification effect of support vector machine in traditional particle swarm optimization support vector machine and inaccuracy of traditional particle swarm optimization in bearing fault diagnosis, an improved particle ...
ZHANG Han +4 more
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