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Optimal multi-depot location decision using particle swarm optimization [PDF]
Advances in Mechanical Engineering, 2017 The depot locations have a significant effect on the transportation cost in the multi-depot vehicle routing problem. A two-tier particle swarm optimization framework is proposed, in which an external particle swarm optimization and an internal particle ...
Yin-Mou Shen, Ruey-Maw Chen
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Logistics Transportation Time Optimization Based on Fuzzy Particle Swarm Optimization [PDF]
MATEC Web of Conferences, 2022 The fuzzy particle swarm optimization (FPSO-RRB- algorithm is used to solve the logistics transportation time optimization problem, a three-dimensional particle coding method based on receiving point, particle position sequence and particle position ...
Zhang Bingqing
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A Path Planning Method for AGV Based on Improved PSO-PIO Algorithm
Journal of Harbin University of Science and Technology, 2022 In order to solve the problem of particle swarm optimization algorithm easily falling into local optimum in global path planning, according to the related theories of particle swarm optimization algorithm and pigeon-inspired optimization algorithm, the ...
QIN Chang-li +4 more
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Hovering Swarm Particle Swarm Optimization
IEEE Access, 2021 PSO is a simple and yet powerful metaheuristic search algorithm widely used to solve various optimization problems. Nevertheless, conventional PSO tends to lose its population diversity drastically and suffer with compromised performance when ...
Aasam Abdul Karim +2 more
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A Particle Swarm Optimization Backtracking Technique Inspired by Science-Fiction Time Travel
AI, 2022 Artificial intelligence techniques, such as particle swarm optimization, are used to solve problems throughout society. Optimization, in particular, seeks to identify the best possible decision within a search space.
Bob Fedor, Jeremy Straub
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Energies, 2022 The optimization of injection–production parameters is an important step in the design of gas injection development schemes, but there are many influencing factors and they are difficult to determine. To solve this problem, this paper optimizes injection-
Yukun Dong +3 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 +3 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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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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