Section optimization design of UHPC beam bridges based on improved particle swarm optimization
Frontiers in Materials, 2023 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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Sparse Based Particle Swarm Optimization Algorithm [PDF]
, 2021 Abstract Particle Swarm Optimization (PSO) is the well-known metaheuristic algorithm for optimization, inspired from swarm of species.PSO can be used in various problems solving related to engineering and science inclusive of but not restricted to increase the heat transfer of systems, to diagnose the health problem using PSO based on ...
Lalit Kumar +2 more
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Particle swarm inspired optimization algorithm without velocity equation
Egyptian Informatics Journal, 2011 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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A particle swarm optimization based memetic algorithm for dynamic optimization problems [PDF]
, 2009 Copyright @ Springer Science + Business Media B.V. 2010.Recently, there has been an increasing concern from the evolutionary computation community on dynamic optimization problems since many real-world optimization problems are dynamic.
AS Uyar +25 more
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Empirical Study of Segment Particle Swarm Optimization and Particle Swarm Optimization Algorithms [PDF]
International Journal of Advanced Computer Science and Applications, 2019 In this paper, the performance of segment particle swarm optimization (Se-PSO) algorithm was compared with that of original particle swarm optimization (PSO) algorithm. Four different benchmark functions of Sphere, Rosenbrock, Rastrigin, and Griewank with asymmetric initial range settings (upper and lower boundaries values) were selected as the test ...
Mohammed Adam Kunna Azrag, Tuty Asmawaty
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A review of velocity-type PSO variants
Journal of Algorithms & Computational Technology, 2017 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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An effective hybrid algorithm for multi-objective flexible job-shop scheduling problem
Advances in Mechanical Engineering, 2018 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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Optimal Chiller Loading by Team Particle Swarm Algorithm for Reducing Energy Consumption
Energies, 2021 Energy saving is an important issue for multiple-chiller systems. Optimal chiller loading (OCL) in multiple-chiller systems has been investigated with many optimization algorithms to save energy.
Wen-Shing Lee +3 more
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Experimental Comparisons of Derivative Free Optimization Algorithms [PDF]
, 2009 In this paper, the performances of the quasi-Newton BFGS algorithm, the NEWUOA derivative free optimizer, the Covariance Matrix Adaptation Evolution Strategy (CMA-ES), the Differential Evolution (DE) algorithm and Particle Swarm Optimizers (PSO) are ...
D.N. Wilke +9 more
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Automatic Data Clustering by Hybrid Enhanced Firefly and Particle Swarm Optimization Algorithms
Mathematics, 2022 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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