A New Many-Objective Hybrid Method to Solve Scheduling Problems
Published 2023-12-06
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Keywords
- multi-project,
- many-objective,
- resource-constrained,
- scheduling
How to Cite
Copyright (c) 2023 International Journal of Industrial Engineering and Management
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)
