Results 31 to 40 of about 82,097 (301)
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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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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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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Optimal multi-depot location decision using particle swarm optimization
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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BMC Bioinformatics, 2019 Background Gene selection is one of the critical steps in the course of the classification of microarray data. Since particle swarm optimization has no complicated evolutionary operators and fewer parameters need to be adjusted, it has been used ...
Fei Han +5 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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Discrete Particle Swarm Optimization for the minimum labelling Steiner tree problem
, 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
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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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