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Improved quantum-behaved particle swarm optimization with local search strategy
Journal of Algorithms & Computational Technology, 2017 Quantum-behaved particle swarm optimization, which was motivated by analysis of particle swarm optimization and quantum system, has shown compared performance in finding the optimal solutions for many optimization problems to other evolutionary ...
Maolong Xi +4 more
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Traffic fatalities prediction using support vector machine with hybrid particle swarm optimization
Journal of Algorithms & Computational Technology, 2018 Road traffic safety is essential, therefore in order to predict traffic fatalities effectively and promote the harmonious development of transportation, a traffic fatalities prediction model based on support vector machine is established in this paper ...
Xiaoning Gu +5 more
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Optimization of UAV Airfoil Based on Improved Particle Swarm Optimization Algorithm
International Journal of Aerospace Engineering, 2022 Airfoil optimization is an essential task in the aerodynamic layout design of the unmanned aerial vehicle (UAV). An objective optimization function was constructed based on the airfoil power factor and handling stability at various attack angles.
Tieying Jiang, Liang Jiang
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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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Complex & Intelligent Systems, 2023 Over the last decade, particle swarm optimization has become increasingly sophisticated because well-balanced exploration and exploitation mechanisms have been proposed. The sequential quadratic programming method, which is widely used for real-parameter
Libin Hong +4 more
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A Bayesian interpretation of the particle swarm optimization and its kernel extension. [PDF]
PLoS ONE, 2012 Particle swarm optimization is a popular method for solving difficult optimization problems. There have been attempts to formulate the method in formal probabilistic or stochastic terms (e.g.
Peter Andras
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Journal of Harbin University of Science and Technology, 2019 In order to improve the precision of the parameter optimization, the research integrates the Particle Swarm Optimization Algorithm with Support Vector Machine, and matches the experimental data, and then establishes a steadystate model of complex process
MAN Chun-tao, LIU Bo, CAO Yong-cheng
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An Improved Symbiosis Particle Swarm Optimization for Solving Economic Load Dispatch Problem
Journal of Electrical and Computer Engineering, 2021 To realize the sustainable development of social economy, energy conservation and emission reduction has become one of the problems that must be considered in the current power system.
Jianxia Zhang +4 more
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Energy Reports, 2022 The sewage treatment system based on particle swarm optimization algorithm to improve energy efficiency is analyzed. Firstly, this paper takes particle swarm optimization algorithm and activated sludge sewage treatment method as the research object, and ...
Bingqin Su +5 more
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Advances in Mechanical Engineering, 2019 A dynamic adaptive particle swarm optimization and genetic algorithm is presented to solve constrained engineering optimization problems. A dynamic adaptive inertia factor is introduced in the basic particle swarm optimization algorithm to balance the ...
Hao Zhu, Yumei Hu, Weidong Zhu
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