Results 31 to 40 of about 56,161 (302)
Particle swarm inspired optimization algorithm without velocity equation
This paper introduces Particle Swarm Without Velocity equation optimization algorithm (PSWV) that significantly reduces the number of iterations required to reach good solutions for optimization problems.
Mahmoud Mostafa El-Sherbiny
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For the problem of defect inversion in magnetic flux leakage technology, a fast, globally convergent particle swarm optimization algorithm based on the finite-element forward model is introduced as an inverse iterative algorithm in this paper.
Senxiang Lu +3 more
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Section optimization design of UHPC beam bridges based on improved particle swarm optimization
Ultra-high performance concrete has excellent mechanical properties such as ultra-high strength and high durability, and has a broad application prospect in the field of bridge engineering.
Beian Li +5 more
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An effective hybrid algorithm for multi-objective flexible job-shop scheduling problem
Genetic algorithm is one of primary algorithms extensively used to address the multi-objective flexible job-shop scheduling problem. However, genetic algorithm converges at a relatively slow speed.
Xiabao Huang, Zailin Guan, Lixi Yang
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A Novel Particle Swarm Optimization Algorithm for Global Optimization [PDF]
Particle Swarm Optimization (PSO) is a recently developed optimization method, which has attracted interest of researchers in various areas due to its simplicity and effectiveness, and many variants have been proposed. In this paper, a novel Particle Swarm Optimization algorithm is presented, in which the information of the best neighbor of each ...
Chunfeng Wang, Kui Liu 0002
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A review of velocity-type PSO variants
This paper presents a review of the particular variants of particle swarm optimization, based on the velocity-type class. The original particle swarm optimization algorithm was developed as an unconstrained optimization technique, which lacks a model ...
Ivo Sousa-Ferreira, Duarte Sousa
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Automatic Data Clustering by Hybrid Enhanced Firefly and Particle Swarm Optimization Algorithms
Data clustering is a process of arranging similar data in different groups based on certain characteristics and properties, and each group is considered as a cluster.
Mandakini Behera +6 more
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Particle swarm for attribute selection in Bayesian classification: an application to protein function prediction [PDF]
The discrete particle swarm optimization (DPSO) algorithm is an optimization technique which belongs to the fertile paradigm of Swarm Intelligence. Designed for the task of attribute selection, the DPSO deals with discrete variables in a straightforward ...
Freitas, AA +5 more
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Evaluation of a Particle Swarm Algorithm For Biomechanical Optimization [PDF]
Optimization is frequently employed in biomechanics research to solve system identification problems, predict human movement, or estimate muscle or other internal forces that cannot be measured directly. Unfortunately, biomechanical optimization problems often possess multiple local minima, making it difficult to find the best solution.
Jaco F, Schutte +5 more
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Control system research in wave compensation based on particle swarm optimization
For the offshore wave compensation control system, its controller setting will directly affect the platform's compensation effect. In order to study the wave compensation control system and optimization strategy, we build and simulate the wave ...
Gang Tang +3 more
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