International Journal of Industrial Engineering and Management

 

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Vol. 14 No. 4 (2023)
Original Research Article

A New Many-Objective Hybrid Method to Solve Scheduling Problems

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  • Krisztián Mihály,
  • Gyula Kulcsár
Krisztián Mihály University of Miskolc, Department of Information Engineering, Miskolc, Hungary
Gyula Kulcsár University of Miskolc, Department of Information Engineering, Miskolc, Hungary

DOI

Published 2023-12-06

Keywords

  • multi-project,
  • many-objective,
  • resource-constrained,
  • scheduling

Copyright (c) 2023 International Journal of Industrial Engineering and Management

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Abstract

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.

Article history: Received (January 30, 2023); Revised (November 3, 2023); Accepted (November 14, 2023); Published online (November 21, 2023)

FULL TEXT ARTICLE (PDF)
REFERENCES (PDF)