Effective heuristic for makespan minimization in parallel batch machines with non-identical capacities
Document Type
Article
Publication Date
11-1-2015
Abstract
We consider the problem of scheduling a set of n jobs with arbitrary job sizes on a set of m parallel batch machines with non-identical capacities; the objective is to minimize the makespan. The problem is known to be NP-hard. A heuristic based on the First-Fit-Decreasing (FFD) rule is presented as well as a meta-heuristic based on Max-Min Ant System (MMAS). The performances of the two heuristics are compared with a previously studied heuristic by computational experiments. The results show that both proposed algorithms outperform the previously studied heuristic. Moreover, the MMAS heuristic obtains better solutions compared with the FFD heuristic.
Identifier
84942788341 (Scopus)
Publication Title
International Journal of Production Economics
External Full Text Location
https://doi.org/10.1016/j.ijpe.2015.07.021
ISSN
09255273
First Page
1
Last Page
10
Volume
169
Grant
71131002
Fund Ref
National Natural Science Foundation of China
Recommended Citation
Jia, Zhao Hong; Li, Kai; and Leung, Joseph Y.T., "Effective heuristic for makespan minimization in parallel batch machines with non-identical capacities" (2015). Faculty Publications. 6696.
https://digitalcommons.njit.edu/fac_pubs/6696
