Results 31 to 40 of about 167,218 (270)
Traffic fatalities prediction using support vector machine with hybrid particle swarm optimization
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
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
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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Improved dynamical particle swarm optimization method for structural dynamics [PDF]
A methodology to the multiobjective structural design of buildings based on an improved particle swarm optimization algorithm is presented, which has proved to be very efficient and robust in nonlinear problems and when the optimization objectives are in
Annicchiarico, W. C. +1 more
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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
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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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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A Bayesian interpretation of the particle swarm optimization and its kernel extension. [PDF]
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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Particle Swarm Optimization Based Source Seeking [PDF]
Signal source seeking using autonomous vehicles is a complex problem. The complexity increases manifold when signal intensities captured by physical sensors onboard are noisy and unreliable.
Bhattacharya, Sourabh +6 more
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Triggered memory-based swarm optimization in dynamic environments [PDF]
This is a post-print version of this article - Copyright @ 2007 Springer-VerlagIn recent years, there has been an increasing concern from the evolutionary computation community on dynamic optimization problems since many real-world optimization problems ...
D. Parrott +9 more
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