A genetics algorithms for optimizing a function over the integer efficient set

Autor:	Ali Zaidi, Djamal Chaabane, Larbi Asli, Lamine Idir, Saida Matoub
Jazyk:	angličtina
Rok vydání:	2024
Předmět:	DEGA Algorithms efficient set genetic algorithms optimization over the efficient set Applied mathematics. Quantitative methods T57-57.97
Zdroj:	Croatian Operational Research Review, Vol 15, Iss 1, Pp 75-88 (2024)
Druh dokumentu:	article
ISSN:	1848-0225 1848-9931
DOI:	10.17535/crorr.2024.0007
Popis:	In this paper, we propose an algorithm called Directional Exploration Genetic Algorithm (DEGA) to resolve a function \(Phi\) over the efficient set of a multi-objective integer linear programming problem (MOILP). DEGA algorithm belongs to evolutionary algorithms, which operate on the decision space by choosing the fastest improving directions that improve the objectives functions and \(Phi\) function. Two variants of this algorithm and a basic version of the genetic algorithm (BVGA) are performed and implemented in Python. Several benchmarks are carried out to evaluate the algorithm's performances and interesting results are obtained and discussed.
Databáze:	Directory of Open Access Journals
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