A hybrid firefly and particle swarm optimization (HFPSO)

Versione 1.0.0.4 (6,13 KB) da I. Berkan Aydilek
A hybrid metaheuristic optimization algorithm that combines strong points of FA and PSO
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Aggiornato 22 nov 2022

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•A hybrid metaheuristic optimization algorithm that combines strong points of firefly and particle swarm algorithms.
•A local search strategy is proposed by controlling previous global best fitness value.
Please cite :
İbrahim Berkan Aydilek, A hybrid firefly and particle swarm optimization algorithm for computationally expensive numerical problems, Applied Soft Computing, Volume 66, May 2018, Pages 232-249

Cita come

İbrahim Berkan Aydilek, A hybrid firefly and particle swarm optimization algorithm for computationally expensive numerical problems, Applied Soft Computing, Volume 66, May 2018, Pages 232-249

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Creato con R2018a
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hfpso

Versione Pubblicato Note della release
1.0.0.4

Please use updated Version4(hfpso_v4) if the lower and upper boundaries are different for both the variables.
Usage--> dim=4; down = [0 0 0 0]; up= [5 10 3 15];
func_no=1; results(func_no,:) = hfpso_v4(50,30,1.49445,1.49445,down,up,dim,0.1,func_no,'
1.0.0.3

fixed some bugs for compatible with any version
1.0.0.0

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