A New Many-Objective Hybrid Method to Solve Scheduling Problems

Autor:	Krisztián Mihály, Gyula Kulcsár
Jazyk:	angličtina
Rok vydání:	2023
Předmět:	multi-project many-objective resource-constrained scheduling Industrial engineering. Management engineering T55.4-60.8
Zdroj:	International Journal of Industrial Engineering and Management, Vol 14, Iss 4, Pp 326-335 (2023)
Druh dokumentu:	article
ISSN:	2217-2661 2683-345X
DOI:	10.24867/IJIEM-2023-4-342
Popis:	This paper proposes a new hybrid method to solve extended scheduling problems that can include multiple resources, projects, and tasks with specific attributes, relationships, and constraints, as well as many objective functions with individual optimization directions and variable importance. A new decision-making procedure is proposed to combine metaheuristic search strategies, constructive algorithms, and many-objective comparison models. This paper also presents a concrete realization in which an advanced mixture search algorithm drives a flexible controllable constructive algorithm, and a relative qualification model ensures multi-objective optimization. Some numerical results illustrate the effectiveness of the proposed hybrid method.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/5701c6347fd24548ad57377d0ed3d189 Zobrazit plný text záznamu View record in DOAJ