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Simplifying Particle Swarm Optimization
Applied Soft Computing, 2010The 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 ...
M. E. H. Pedersen +1 more
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Particle Swarm Optimization on a GPU
2012 IEEE International Conference on Electro/Information Technology, 2012Optimization problems that contain discontinuities, non-linearity, or high dimensionality are difficult to solve and time consuming using conventional computational methods. This paper introduces a tool that solves these kinds of optimization problems using a patent pending Gaming Particle Swarm Optimization (GPSO) algorithm implemented on Graphics ...
Mikhail Rabinovich +5 more
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Engineering optimization with particle swarm
Proceedings of the 2003 IEEE Swarm Intelligence Symposium. SIS'03 (Cat. No.03EX706), 2004The paper presents a modified particle swarm optimization (PSO) algorithm for engineering optimization problems with constraints. PSO is started with a group of feasible solutions and a feasibility function is used to check if the newly explored solutions satisfy all the constraints. All the particles keep only those feasible solutions in their memory.
Xiaohui Hu +2 more
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Vortex Particle Swarm Optimization
2013 IEEE Congress on Evolutionary Computation, 2013This paper presents an optimization algorithm based on self-propelled particle swarms which exploit vorticity features in order to avoid local minima; the proposed algorithm is termed Vortex Particle Swarm Optimization (VPSO). The optimization algorithm switches between translational and dispersion behavior of the swarm to enhance the exploration of ...
Helbert E. Espitia, Jorge I. Sofrony
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Biases in Particle Swarm Optimization
International Journal of Swarm Intelligence Research, 2010The most common versions of particle swarm optimization (PSO) algorithms are rotationally variant. It has also been pointed out that PSO algorithms can concentrate particles along paths parallel to the coordinate axes. In this paper, the authors explicitly connect these two observations by showing that the rotational variance is related to the ...
William M. Spears +2 more
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Particle swarm optimization in a nutshell
Proceedings of the International Conference and Workshop on Emerging Trends in Technology, 2010Swarm intelligence is the collective intelligence of group of independent agents. It can be applied in optimization. So researchers are increasingly interested in swarm Intelligence. The paper describes the swarm Intelligence. Paper discusses type of biological system - social system, more specifically while focusing on the aspects of developments of ...
Snehal Kamalapur, Shirish Sane
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Topology Optimization of Particle Swarm Optimization
2014Particle Swarm Optimization (PSO) is popular in optimization problems for its quick convergence and simple realization. The topology of standard PSO is global-coupling and likely to stop at local optima rather than the global one. This paper analyses PSO topology with complex network theory and proposes two approaches to improve PSO performance.
Fenglin Li, Jian Guo 0006
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Multiobjective particle swarm optimization
Proceedings of the 38th annual on Southeast regional conference, 2000Evolutionary algorithms (EAs) are search procedures based on natural selection [2]. They have been successfully applied to a wide variety of optimization problems [4]. Particle Swarm Optimization (PSO) [1,7] is a new type of evolutionary paradigm that has been successfully used to solve a number of single objective optimization problems (SOPs). However,
Jacqueline Moore +2 more
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Interactive particle swarm optimization
5th International Conference on Intelligent Systems Design and Applications (ISDA'05), 2005It is often desirable to simultaneously handle several objectives and constraints in practical optimization problems. In some cases, these objectives and constraints are non-commensurable and they are not explicitly/mathematically available. For this kind of problems, interactive optimization may be a good approach.
János Madár +2 more
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Catfish particle swarm optimization
2008 IEEE Swarm Intelligence Symposium, 2008Catfish particle swarm optimization (CatfishPSO) is a novel optimization algorithm proposed in this paper. The mechanism is dependent on the incorporation of a catfish particle into the linearly decreasing weight particle swarm optimization (LDWPSO). The introduced catfish particle improves the performance of LDWPSO.
Li-Yeh Chuang +2 more
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