Results 11 to 20 of about 127,515 (294)

Improved dynamical particle swarm optimization method for structural dynamics [PDF]

, 2019
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., Cerrolaza Rivas, Miguel Enrique   +1 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, Manish Pandey, Mitul Kumar Ahirwal   +2 more
openaire   +1 more source

Resolution of the stochastic strategy spatial prisoner's dilemma by means of particle swarm optimization [PDF]

, 2011
We study the evolution of cooperation among selfish individuals in the stochastic strategy spatial prisoner's dilemma game. We equip players with the particle swarm optimization technique, and find that it may lead to highly cooperative states even if ...
A Cardillo, A Szolnoki, A Szolnoki, A Szolnoki, A Traulsen, Attila Szolnoki, B Wu, C Hauert, Chunyan Zhang, CP Roca, D Helbing, E Pestelacci, F Fu, F Fu, FC Santos, FC Santos, G Abramson, G Hardin, G Szabó, G Szabó, G Szabó, G Szabó, G Szabó, H Brandt, H Brandt, J Gómez-Gardeñes, J Hofbauer, J Kennedy, J Peña, J Poncela, J Poncela, J Poncela, J Poncela, Jianlei Zhang, K Sigmund, LA Dugatkin, LL Jiang, M Doebeli, M Droz, M Perc, M Perc, M Perc, M Perc, M Perc, M Tomassini, MA Nowak, MA Nowak, MA Nowak, MA Nowak, Matjaž Perc, MG Zimmermann, MH Vainstein, MH Vainstein, R Axelrod, R Eberhart, R Eberhart, S Meloni, S Van Segbroeck, Tianguang Chu, W Hamilton, XJ Chen, Z Rong, ZX Wu   +62 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
openaire   +1 more source

Entropy diversity in multi-objective particle swarm optimization [PDF]

, 2013
Multi-objective particle swarm optimization (MOPSO) is a search algorithm based on social behavior. Most of the existing multi-objective particle swarm optimization schemes are based on Pareto optimality and aim to obtain a representative non-dominated ...
Machado, J. A. Tenreiro, Oliveira, P. B. Moura, Pires, E. J. Solteiro   +2 more
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A Multi-Swarm Cellular PSO based on Clonal Selection Algorithm in Dynamic Environments

, 2012
Many real-world problems are dynamic optimization problems. In this case, the optima in the environment change dynamically. Therefore, traditional optimization algorithms disable to track and find optima.
Meybodi, Mohammd Reza, Nabizadeh, Somayeh, Rezvanian, Alireza   +2 more
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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, B Liu, CK Goh, D Liu, D Parrott, Dingwei Wang, H Ishibuchi, H Wang, H Wang, Hongfeng Wang, J Tang, JE Gallardo, JE Smith, M Tang, N Krasnogor, R Tinos, S Janson, S Man, S Yang, S Yang, S Yang, Shengxiang Yang, TM Blackwell, W. H. Ip, Y Jin, YG Petalas   +25 more
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Multiplicate Particle Swarm Optimization Algorithm

Journal of Computers, 2010
Using Particle Swarm Optimization to handle complex functions with high-dimension it has the problems of low convergence speed and sensitivity to local convergence. The convergence of particle swarm algorithm is studied, and the condition for the convergence of particle swarm algorithm is given.
Shang Gao, Zaiyue Zhang, Cungen Cao
openaire   +1 more source

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, J. Branke, J. Branke, J. Kennedy, R. Eberhart, R. Eberhart, R.W. Morrison, S. Yang, T. Blackwell, X. Hu   +9 more
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A Novel Particle Swarm Optimization Algorithm for Global Optimization [PDF]

Computational Intelligence and Neuroscience, 2016
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 ...
Wang, Chun-Feng, Liu, Kui
openaire   +2 more sources