نتایج جستجو برای Particle swarm optimization

تعداد نتایج: 285730  

2004
Yuhui Shi, Jacek M. Zurada, Bogdan M. Wilamowski, Piero P. Bonissone,

At its meeting in Savannah, Georgia on February 14th, the IEEE Technical Activities Board voted overwhelmingly in favor of the Neural Networks Society's motion to change its name to the COMPUTATIONAL INTELLIGENCE SOCIETY. To become official, the name needs to be approved by the Board of Directors which is expected to meet on June 20, 2004. As many of you may remember, the motion to change NNS's...

Journal: :Trans. Computational Science 2010
Christian Veenhuis,

In recent years a swarm-based optimization methodology called Particle Swarm Optimization (PSO) has developed. If one wants to apply PSO one has to specify several parameters as well as to select a neighborhood topology. Several topologies being widely used can be found in literature. This raises the question, which one fits best to your application at hand. To get rid of this topology selectio...

2014
Yuping Wang,

The Orthogonal arrays are helpful in guiding the heuristic algorithms to obtain a good solution when applied to NP-hard problems. This chapter deals with a new variant of PSO named Orthogonal PSO (OPSO) for solving the multiprocessor scheduling problem. The objective of applying the orthogonal concept in the basic PSO algorithm is to enhance the performance when applied to the scheduling proble...

2005
Jason C. Tillett, T. M. Rao, Ferat Sahin, Raghuveer M. Rao,

Particle Swarm Optimization (PSO), an evolutionary algorithm for optimization is extended to determine if natural selection, or survival-of-thefittest, can enhance the ability of the PSO algorithm to escape from local optima. To simulate selection, many simultaneous, parallel PSO algorithms, each one a swarm, operate on a test problem. Simple rules are developed to implement selection. The abil...

2011
Gonçalo Pereira,

Particle Swarm Optimization is an algorithm capable of optimizing a non-linear and multidimensional problem which usually reaches good solutions efficiently while requiring minimal parameterization. The algorithm and its concept of “Particle Swarm Optimization”(PSO) were introduced by James Kennedy and Russel Ebhart in 1995 [4]. However, its origins go further backwards since the basic principl...

2009
Joy Ding, Drew Robb,

Particle Swarm Optimization (PSO) is an evolutionary algorithm based off of swarm intelligence and is used as a stochastic optimization technique. One major characteristic of PSO is many configuration parameters, which allow the algorithm to be adjusted to various problem landscapes. In the first half of this paper, we empirically benchmark performance of different parameterizations of PSO in a...

Journal: :Appl. Soft Comput. 2010
M. E. H. Pedersen, Andrew J. Chipperfield,

The general purpose optimization method known as Particle Swarm Optimization (PSO) has received much attention in past years, with many attempts to find the variant that performs best on a wide variety of optimization problems. The focus of past research has been with making the PSO method more complex, as this is frequently believed to increase its adaptability to other optimization problems. ...

2007
Zhongkai Zhu, Yuhua Zheng, Yan Meng,

In this Chapter, we present a new face detection and tracking algorithm using Bayesconstrained particle swarm optimization (BC-PSO), which is a population based searching algorithm. A cascade of boosted classifiers based on Haar-like features is trained and employed for object detection. Then the PSO-based algorithm is applied for object tracking. Basically the searching can be divided into two...

Journal: :Annals OR 2007
Yiannis G. Petalas, Konstantinos E. Parsopoulos, Michael N. Vrahatis,

We propose a new Memetic Particle Swarm Optimization scheme that incorporates local search techniques in the standard Particle Swarm Optimization algorithm, resulting in an efficient and effective optimization method, which is analyzed theoretically. The proposed algorithm is applied to different unconstrained, constrained, minimax and integer programming problems and the obtained results are c...

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