@ARTICLE{10.21494/ISTE.OP.2022.0784, 

TITLE={Metaheuristic optimization and mechatronic application}, 
  
AUTHOR={Hakima Reddad, Maria Zemzami, Norelislam El Hami, Nabil Hmina, }, 
	
JOURNAL={Uncertainties and Reliability of Multiphysical Systems}, 
	
VOLUME={5}, 

NUMBER={Issue 2}, 
	
YEAR={2022}, 

URL={http://openscience.fr/Metaheuristic-optimization-and-mechatronic-application}, 
	
DOI={10.21494/ISTE.OP.2022.0784}, 
	
ISSN={2514-569X}, 
	
ABSTRACT={This article is composed of two parts, the first part is devoted to a presentation of five metaheuristic optimization algorithms, the SSA algorithm (the salp swarm algorithm) which is based on the linear displacement of salps in the oceans to find their target, the CSA algorithm (the cuckoo search algorithm) which is based on the behavior of cuckoos to find and lay their eggs in host nests, the GWO algorithm (the optimization of gray wolves ) which is based on the behavior of gray wolves in nature through a social hierarchy, the FA algorithm (the firefly algorithm) which is based on the light attractiveness of fireflies to each other in nature and finally the BA algorithm (the bat algorithm) which is based on the process of hunting micro bats through echolocation. And the second part concerns the resolution of a constrained real mechatronic optimization problem, it is about a numerical computation by the algorithms which one discussed in the first part, of the optimal geometry of a support of a marketing plate, under well-defined constraints, this support must guarantee mechanical resistance against compressive and buckling forces generated by the plate, and according to the results obtained by each algorithm we will deduce the optimal solution of the problem.}}