Results 11 to 20 of about 76,865 (247)
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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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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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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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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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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IEEE Access, 2022 Distribution systems continue to grow and becoming more complex with increasing operational challenges such as protection miscoordination. Initially, conventional methods were favoured to solve overcurrent relay coordination problems; however, the ...
Sethembiso Nonjabulo Langazane +1 more
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Parallelized Particle Swarm Optimization on FPGA for Realtime Ballistic Target Tracking
Sensors, 2023 This paper addresses the problem of tracking a high-speed ballistic target in real time. Particle swarm optimization (PSO) can be a solution to overcome the motion of the ballistic target and the nonlinearity of the measurement model. However, in general,
Juhyeon Park +4 more
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