Results 11 to 20 of about 2,957,454 (293)
Hovering Swarm Particle Swarm Optimization [PDF]
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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Adaptive Particle Swarm Optimization [PDF]
IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 2009 An adaptive particle swarm optimization (APSO) that features better search efficiency than classical particle swarm optimization (PSO) is presented. More importantly, it can perform a global search over the entire search space with faster convergence speed. The APSO consists of two main steps.
Zhi-hui Zhan +3 more
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Research on Large-Scale Bi-Level Particle Swarm Optimization Algorithm
IEEE Access, 2021 Targeting at the slow convergence and the local optimum problems of particle swarm optimization (PSO), a large-scale bi-level particle swarm optimization algorithm is proposed in this paper, which enlarges the particle swarm scale and enhances the ...
Jia-Jia Jiang +4 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.
N. Mladenović +8 more
core +7 more sources
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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Multi-controller Deployment Strategy Based on Delay and Load Balancing [PDF]
Zhengzhou Daxue xuebao. Gongxue ban, 2021 To address the time delay and load balancing problems faced by multiple controllers deployed in the software definition network (SDN), in this paper, a multi-controller placement algorithm is proposed to reduce the time delay between controllers, and ...
Liu Zhenpeng +4 more
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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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An adaptive mutation operator for particle swarm optimization [PDF]
, 2008 Copyright @ 2008 MICParticle swarm optimization (PSO) is an effcient tool for optimization and search problems. However, it is easy to betrapped into local optima due to its in-formation sharing mechanism.
Yang, S, Li, C, Korejo, I
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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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