Results 221 to 230 of about 79,920 (249)

A Review of Particle Swarm Optimization ( PSO) Algorithm

2022
Particle swarm optimization (PSO) is a population- based stochastic optimization technique that is inspired by the intelligent collective behaviour of certain animals, such as flocks of birds or schools of fish. It has undergone numerous improvements since its debut in 1995. As academics became more familiar with the technique, they produced additional
Shaikh, Mubeen, Yadav, Dhananjay
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Optimizing Assembly Sequence Time Using Particle Swarm Optimization (PSO)

Applied Mechanics and Materials, 2013
Assembly sequence planning (ASP) plays an important role in the production planning and should be optimized to minimize production time and cost when large numbers of parts and sub-assemblies are involved in the assembly process. Although the ASP problem has been tackled via a variety of optimization techniques, these techniques are often inefficient ...
Mukred, J. A. A., Muslim, M. T., Selamat, H.   +2 more
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Particle swarm optimization (PSO) for reflector antenna shaping

IEEE Antennas and Propagation Society Symposium, 2004., 2004
It has been shown that reflector antenna systems can benefit substantially from careful shaping of the main or sub-reflectors, or both, in order to maximize the antenna's performance (Duan, D.-W. and Rahmat-Samii, Y., 1995). Shaped reflectors can be used to achieve high efficiencies and gains, low side-lobe levels, and arbitrarily contoured beams.
D. Gies, Y. Rahmat-Samii
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PSO+: A nonlinear constraints-handling particle swarm optimization

2016 IEEE Congress on Evolutionary Computation (CEC), 2016
This paper proposes a new approach to Particle Swarm Optimization (PSO) to solve nonlinear problems with linear and nonlinear constraints. A crossover operator and a new particle updating method, named Footholds Concept, were developed to guarantee fully feasible solutions and better search-space coverage, respectively.
Manoela Kohler, Leonardo Forero, Marley Vellasco, Ricardo Tanscheit, Marco Aurelio Pacheco   +4 more
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Fuzzy PSO: a generalization of particle swarm optimization

Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005., 2006
In standard particle swarm optimization (PSO), the best particle in each neighborhood exerts its influence over other particles in the neighborhood. In this paper, we propose fuzzy PSO, a generalization which differs from standard PSO in the following respect: charisma is defined to be a fuzzy variable, and more than one particle in each neighborhood ...
A.M. Abdelbar, S. Abdelshahid, D.C. Wunsch   +2 more
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Frankenstein's PSO: A Composite Particle Swarm Optimization Algorithm

IEEE Transactions on Evolutionary Computation, 2009
During the last decade, many variants of the original particle swarm optimization (PSO) algorithm have been proposed. In many cases, the difference between two variants can be seen as an algorithmic component being present in one variant but not in the other.
Montes De Oca Roldan, Marco, Stützle, Thomas, Birattari, Mauro, Dorigo, Marco   +3 more
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Self-modeling curve resolution (SMCR) by particle swarm optimization (PSO)

Analytica Chimica Acta, 2007
Particle swarm optimization (PSO) combined with alternating least squares (ALS) is introduced to self-modeling curve resolution (SMCR) in this study for effective initial estimate. The proposed method aims to search concentration profiles or pure spectra which give the best resolution result by PSO. SMCR sometimes yields insufficient resolution results
Hideyuki, Shinzawa, Jian-Hui, Jiang, Makio, Iwahashi, Isao, Noda, Yukihiro, Ozaki   +4 more
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Online velocity optimization of robotic swarm flocking using particle swarm optimization (PSO) method

2009 6th International Symposium on Mechatronics and its Applications, 2009
In this paper, the agent velocity in robotic swarm was determined by using particle swarm optimization (PSO) to maximize the robotic swarm coordination velocity. A swarm as supposed here is homogenous and includes at least two members. Motion and behavior of swarm members are mostly result of two different phenomena: interactive mutual forces and ...
Ramin Vatankhah, Shahram Etemadi, Mohammad Honarvar, Aria Alasty, Mehrdad Boroushaki, Gholamreza Vossoughi   +5 more
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Particle Swarm Optimization (PSO) algorithm for wind farm optimal design

International Journal of Management Science and Engineering Management, 2010
Abstract In this paper, a PSO algorithm for optimal design of wind farm is presented. In particular, we solve the problem of minimizing the cost per unit of power produced in a wind farm. This cost depends on the number of turbines placed in a wind farm and the total power produced.
Vlachos Aristidis, Papageorgaki Maria, Lytras Christos   +2 more
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Particle Swarm Optimization (PSO) for the constrained portfolio optimization problem

Expert Systems with Applications, 2011
One of the most studied problems in the financial investment expert system is the intractability of portfolios. The non-linear constrained portfolio optimization problem with multi-objective functions cannot be efficiently solved using traditionally approaches.
Zhu, Hanhong, Wang, Yi, Wang, Kesheng, Chen, Yun   +3 more
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