Journal of Intelligent & Fuzzy Systems, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 14

Published: March 30, 2024

Enterprises have increasingly focused on integrated production and transportation problems, recognizing their potential to enhance cohesion across different decision-making levels. The whale optimization algorithm, with its advantages such as minimal parameter control, has garnered attention. In this study, a hybrid algorithm (HWOA) is designed settle the distributed no-wait flow-shop scheduling problem batch delivery (DNWFSP-BD). Two objectives are considered concurrently, namely, minimization of makespan total energy consumption. proposed four vectors represent solution, encompassing job scheduling, factory assignment, speed Subsequently, generate high-quality candidate solutions, heuristic leveraging Largest Processing Time (LPT) rule NEH introduced. Moreover, novel path-relinking strategy for more meticulous search optimal solution neighborhood. Furthermore, an insert-reversed block operator variable neighborhood descent (VND) introduced prevent solutions from converging local optima. Finally, through comprehensive comparisons efficient algorithms, superior performance HWOA in solving DNWFSP-BD conclusively demonstrated.

Language: Английский