World Cup Optimization Algorithm

Version 1.0.0 (1,4 Mo) par Navid Razmjooy
A New Population-based Optimization Algorithm
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Mise à jour 26 avr. 2020

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This code presents a new optimization algorithm based on human society’s intelligent contests. FIFA World Cup is an international association football competition competed by the senior men’s national teams. This contest is one of the most significant competitions among the humans in which people/teams try hard to overcome the others to earn the victory. In this competition, there is only one winner which has the best position rather than the others. This paper introduces a new technique for the optimization of mathematic functions based on FIFA World Cup competitions. The main difficulty of the optimization problems is that each type of them can be interpreted in a specific manner. World Cup Optimization (WCO) algorithm has a number of parameters to solve any type of problem due to defined parameters.

Citation pour cette source

Razmjooy, Navid, et al. “A New Meta-Heuristic Optimization Algorithm Inspired by FIFA World Cup Competitions: Theory and Its Application in PID Designing for AVR System.” Journal of Control, Automation and Electrical Systems, vol. 27, no. 4, Springer Science and Business Media LLC, Mar. 2016, pp. 419–40, doi:10.1007/s40313-016-0242-6.

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Compatibilité avec les versions de MATLAB
Créé avec R2020a
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1.0.0