Minimizing the Makespan for Unrelated Parallel Machines
Publication Type
Journal Article
Publication Date
6-2007
Abstract
In this paper, we study the unrelated parallel machine problem for minimizing the makespan, which is NP-hard. We used Simulated Annealing (SA) and Tabu Search (TS) with Neighborhood Search (NS) based on the structure of the problem. We also used a modified SA algorithm, which gives better results than the traditional SA and developed an effective heuristic for the problem: Squeaky Wheel Optimization (SWO) hybrid with TS. Experimental results average 2.52% from the lower bound and are within acceptable timescales improving current best results for the problem.
Keywords
Makespan, unrelated parallel machines, simulated annealing, tabu search, squeaky wheel optimization
Discipline
Operations and Supply Chain Management
Research Areas
Operations Management
Publication
International Journal of Artificial Intelligence Tools
Volume
16
Issue
3
First Page
399
Last Page
415
ISSN
0218-2130
Identifier
10.1142/S0218213007003175
Publisher
World Scientific
Citation
GUO, Yunsong; LIM, Andrew; RODRIGUES, Brian; and YANG, Liang.
Minimizing the Makespan for Unrelated Parallel Machines. (2007). International Journal of Artificial Intelligence Tools. 16, (3), 399-415.
Available at: https://ink.library.smu.edu.sg/lkcsb_research/556
Additional URL
https://doi.org/10.1142/S0218213007003175