Performances Assessment of MOMA-Plus Method on Multiobjective Optimization Problems

Autor:	Kounhinir Some, Abdoulaye Compaore, Alexandre Som, Blaise Some
Rok vydání:	2020
Předmět:	Statistics and Probability Multiobjective optimization problem Mathematical optimization Numerical Analysis Algebra and Number Theory Relation (database) Applied Mathematics Convergence (routing) Geometry and Topology Multi-objective optimization Mathematics Theoretical Computer Science
Zdroj:	European Journal of Pure and Applied Mathematics. 13:48-68
ISSN:	1307-5543
DOI:	10.29020/nybg.ejpam.v1i1.3581
Popis:	This work is devoted to evaluate the performances of the MOMA-plus method in solving multiobjective optimization problems. This assessment is doing on the complexity of its algorithm, the convergence and the diversity of solutions in relation to the Pareto front. All these parameters were evaluated on non-linear multiobjective test problems and obtained solutions are compared with those provided by the NSGA-II method. This comparative study made it possible tohighlight the performances of MOMA-plus method for solving non-linear multiobjective problems.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6898953928740f785c295a926862bc4c https://doi.org/10.29020/nybg.ejpam.v1i1.3581 Zobrazit plný text záznamu Plný text ve formátu PDF