DocumentCode
2724901
Title
Parallel machine scheduling problems using memetic algorithms
Author
Cheng, Runwei ; Gen, Mitsuo
Author_Institution
Dept. of Ind. & Syst. Eng., Ashikaga Inst. of Technol., Japan
Volume
4
fYear
1996
fDate
14-17 Oct 1996
Firstpage
2665
Abstract
In this paper, we address parallel machine scheduling problems with an objective of minimizing the maximum weighted absolute lateness. Memetic algorithms are applied to solve this problem. The proposed method is compared with genetic algorithms and heuristics on randomly generated test problems. The results show that the memetic algorithm outperforms the others
Keywords
minimisation; parallel algorithms; scheduling; maximum weighted absolute lateness; memetic algorithms; parallel machine scheduling problems; randomly generated test problems; Genetic algorithms; Job shop scheduling; Minimax techniques; Optimal scheduling; Parallel machines; Partitioning algorithms; Scheduling algorithm; Search methods; Single machine scheduling; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Man, and Cybernetics, 1996., IEEE International Conference on
Conference_Location
Beijing
ISSN
1062-922X
Print_ISBN
0-7803-3280-6
Type
conf
DOI
10.1109/ICSMC.1996.561355
Filename
561355
Link To Document