A novel hybrid election campaign optimisation algorithm for multi-objective flexible job-shop scheduling problem
by Shuting Wang; Chuanjiang Liu; Dawei Pei; Jinjiang Wang
International Journal of Materials and Structural Integrity (IJMSI), Vol. 7, No. 1/2/3, 2013

Abstract: Flexible job-shop problem (FJSP) is an extension of the job shop problem that allows an operation to be processed by any machine from a given set along different routes. This paper presents a novel hybrid election campaign optimisation (ECO) algorithm combining with tabu search (TS) algorithm for solving the multi-objective FJSP to minimise the makespan, the total workload of all machines, and the workload of the busiest machine. ECO, as a new meta-heuristic, which integrates local search and global search scheme possesses high global search efficiency, TS, as a traditional meta-heuristic which possesses high local search ability. Through reasonably hybridising these two optimisation algorithms, an effective hybrid approach (ECO+TS), which makes full advantages of ECO and TS has been proposed for the multi-objective FJSP. The computational results have proved that the proposed hybrid algorithm is an efficient and effective approach to solve the multi-objective FJSP.

Online publication date: Sat, 12-Jul-2014

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Materials and Structural Integrity (IJMSI):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?


Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com