Title :
On the reducibility of multicriteria scheduling problems to bicriteria scheduling problems
Author :
Akande, Saheed ; Oluleye, Ayodeji E. ; Oyetunji, Elkanah O.
Author_Institution :
Dept. of Mech. & Mechatron. Eng., AfeBabalola Univ., Ado-Ekiti, Nigeria
Abstract :
The complexity of scheduling problems grows as the number of objectives/criteria increase. While a majority of the multi criteria scheduling problems are known to be NP-Hard; near-optimal solution methods exist for quite a number of single criterion and bicriteria scheduling problems. This has encouraged researchers to explore the possibilities of reducing multi criteria scheduling problems to equivalent bicriteria problems. In this work, we demonstrate through experimentation that multi criteria scheduling problems can indeed be reduced to bicriteria scheduling problems. In order to demonstrate this, the multi criteria scheduling problem of simultaneously minimizing the total completion time, total flow time, total lateness, and number of tardy jobs on a single machine with job release dates was explored. Three existing solution methods were tested on 950 randomly generated problems ranging from 3 to 100 jobs. Experimental results show that the multicriteria problem can be reduced to bicriteria problem and solved to obtain near optimal solution by the existing solution method of the reduced problem. However, the concept is valid if there exists a relationship between the original and its equivalent bicriteria problem.
Keywords :
computational complexity; minimisation; single machine scheduling; NP-Hard problems; bicriteria scheduling problems; computational complexity; multicriteria scheduling problem; reduced problem; reducibility; single machine; total completion time minimisation; total flow time minimisation; total lateness minimisation; Single machine scheduling; Multi-criteria; bi-criteria; effectiveness; near-optimal; reducibility;
Conference_Titel :
Industrial Engineering and Operations Management (IEOM), 2015 International Conference on
Conference_Location :
Dubai
Print_ISBN :
978-1-4799-6064-4
DOI :
10.1109/IEOM.2015.7228107