Parameter Selection in Particle Swarm Optimization
EP '98 Proceedings of the 7th International Conference on Evolutionary Programming VII
Comparison between Genetic Algorithms and Particle Swarm Optimization
EP '98 Proceedings of the 7th International Conference on Evolutionary Programming VII
The particle swarm optimization algorithm: convergence analysis and parameter selection
Information Processing Letters
Fractional order electromagnetics
Signal Processing - Fractional calculus applications in signals and systems
Fractional Order Dynamics in a Particle Swarm Optimization Algorithm
ISDA '07 Proceedings of the Seventh International Conference on Intelligent Systems Design and Applications
Adaptive particle swarm optimization
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
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Particle swarm optimization (PSO) is one of the latest evolutionary optimization techniques, inspired by social behavior of bird flocking or fish schooling. It has the better ability of global searching and has been successfully applied in many areas of engineering and science. Recently, a closer look of some phenomena present in electrical systems and the motivation towards the development of comprehensive models, pointed out the requirement for a fractional calculus (FC) approach. The problem of point multipoles of electric charges and the corresponding electrical potential is an important subject in the field of electromagnetism. In this work, it is applied the concept of fractional calculus to define, and to evaluate, the electrical potential of fractional order. For that, the analysis and the synthesis of fractional-order multipoles, based in a PSO optimization scheme, is addressed.