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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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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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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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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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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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Magnetic particle swarm optimization [PDF]
2011 IEEE Symposium on Swarm Intelligence, 2011 In this paper, we propose a new particle swarm approach based on the idea of repulsion by a magnetic field. The structure of the method is presented and, using a number of well-known benchmark functions in a 30-dimension search space, its performance is compared to that of well-established algorithms of similar inspiration.
Paulo Sérgio Prampero, Romis Attux
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Multirobot task allocation based on an improved particle swarm optimization approach
International Journal of Advanced Robotic Systems, 2017 Due to its complexity and non-deterministic polynomial-time hard characteristic, multirobot task allocation problem remains a challenging issue in the field of cooperative robotics.
Zhanxia Zhu, Biwei Tang, Jianping Yuan
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Hybrid Modified Particle Swarm Optimization Algorithm for Adjustment of Water Distribution Network Coefficients [PDF]
آب و فاضلاب, 2019 Regarding the complexity of WDNs, the need for computerized modelling of WDNs is felt more than ever for monitoring their performance at the operational stage.
Mehdi Dini
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