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Duct Metamaterial Muffler with Composite Acoustic Porous Media: Acoustic Optimization via Periodic Arrangement, Particle Swarm Optimization and Experimental Validation. [PDF]
Materials (Basel)Liu Z +7 more
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Damage Quantitative Detection of Curved Composite Laminates Based on Improved Particle Swarm Optimization Algorithm. [PDF]
Materials (Basel)Tian S +6 more
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Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018
Inspired by animal behavior, Eberhart and Kennedy [49, 22] proposed in 1995 an optimization method called Particle Swarm Optimization (PSO). In this approach, a swarm of particles simultaneously explore a problem’s search space with the goal of finding the global optimum configuration.
AP Engelbrecht, CW Cleghorn
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Inspired by animal behavior, Eberhart and Kennedy [49, 22] proposed in 1995 an optimization method called Particle Swarm Optimization (PSO). In this approach, a swarm of particles simultaneously explore a problem’s search space with the goal of finding the global optimum configuration.
AP Engelbrecht, CW Cleghorn
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International Journal of Materials Forming and Machining Processes, 2015
In this paper, particle swarm optimization, which is a recently developed evolutionary algorithm, is used to optimize parameters in surface grinding processes where multiple conflicting objectives are present. The relationships between surface grinding process parameters and the performance measures of interest are obtained by using experimental data ...
Manoj Kumar, Jyoti Raman, Priya Priya
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In this paper, particle swarm optimization, which is a recently developed evolutionary algorithm, is used to optimize parameters in surface grinding processes where multiple conflicting objectives are present. The relationships between surface grinding process parameters and the performance measures of interest are obtained by using experimental data ...
Manoj Kumar, Jyoti Raman, Priya Priya
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Proceedings of the Companion Publication of the 2014 Annual Conference on Genetic and Evolutionary Computation, 2014
Particle Swarm Optimization (PSO) algorithms are nature-inspired population-based metaheuristic algorithms originally accredited to Eberhart, Kennedy and Shi [1, 2]. The algorithms mimic the social behavior of birds flocking and fishes schooling. Starting form a randomly distributed set of particles (potential solutions), the algorithms try to improve ...
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Particle Swarm Optimization (PSO) algorithms are nature-inspired population-based metaheuristic algorithms originally accredited to Eberhart, Kennedy and Shi [1, 2]. The algorithms mimic the social behavior of birds flocking and fishes schooling. Starting form a randomly distributed set of particles (potential solutions), the algorithms try to improve ...
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Visualizing particle swarm optimization - Gaussian particle swarm optimization
Proceedings of the 2003 IEEE Swarm Intelligence Symposium. SIS'03 (Cat. No.03EX706), 2004Particle swarm optimization (PSO) conjures an image of particles searching for the optima the way bees buzz around flowers. One approach at visualizing the swarm graphs where all the particles are each generation, thus demonstrating the random nature associated with swarms of insects.
B.R. Secrest, G.B. Lamont
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Clan Particle Swarm Optimization
2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence), 2008PurposeParticle swarm optimization (PSO) has been used to solve many different types of optimization problems. In spite of this, the original version of PSO is not capable to find reasonable solutions for some types of problems. Therefore, novel approaches to deal with more sophisticated problems are required. Many variations of the basic PSO form have
Ferreira de Carvalho, Danilo +1 more
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2011
Optimization techniques based on behaviors of some animal species in natural environment are strongly developed. Algorithms simulating behaviors of bees colony, ants colony, and birds flock have appeared. The last algorithm is named in the literature as a particle swarm optimization (PSO) algorithm, and is a new technique dedicated to optimization ...
Veysel Gazi, Kevin M. Passino
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Optimization techniques based on behaviors of some animal species in natural environment are strongly developed. Algorithms simulating behaviors of bees colony, ants colony, and birds flock have appeared. The last algorithm is named in the literature as a particle swarm optimization (PSO) algorithm, and is a new technique dedicated to optimization ...
Veysel Gazi, Kevin M. Passino
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Asynchronous Particle Swarm Optimization
2007 IEEE 15th Signal Processing and Communications Applications, 2007In this article we consider an asynchronous particle swarm optimization (PSO) algorithm. In addition to the fact that the particles can update their estimates independently time delays are also allowed in obtaining information from their neighbors. Moreover, we test the performance of the algorithm with a simulation example.
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AIAA Journal, 2002
Gerhard Venter (gventer_vrand.conl) *Vanderpla(ds Research and Development, bit.1767 S 8th St'reef. Suite 100, Colorado Springs. CO 80906Jaroslaw Sobieszczanski-Sobieski (j.sobieski:_larc.nasa.gov) *A_4SA Lcmgley Research Ce,_terMS 240, Hampton, I:4 23681-2199The purpose of this paper is to show how the search algorithm, known as par-ticle swarm ...
Gerhard Venter +1 more
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Gerhard Venter (gventer_vrand.conl) *Vanderpla(ds Research and Development, bit.1767 S 8th St'reef. Suite 100, Colorado Springs. CO 80906Jaroslaw Sobieszczanski-Sobieski (j.sobieski:_larc.nasa.gov) *A_4SA Lcmgley Research Ce,_terMS 240, Hampton, I:4 23681-2199The purpose of this paper is to show how the search algorithm, known as par-ticle swarm ...
Gerhard Venter +1 more
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