Please use this identifier to cite or link to this item:
Title: Improved intelligent water drops optimization for single and multiple objective job shop scheduling
Authors: Ong, S.K. 
Niu, S.H.
Nee, A.Y.C. 
Keywords: Intelligent water drops optimization
Issue Date: 2013
Citation: Ong, S.K.,Niu, S.H.,Nee, A.Y.C. (2013). Improved intelligent water drops optimization for single and multiple objective job shop scheduling. IFAC Proceedings Volumes (IFAC-PapersOnline) : 128-133. ScholarBank@NUS Repository.
Abstract: Single objective Job Shop Scheduling Problem (SOJSSP) and Multiple Objective Job Shop Scheduling Problem (MOJSSP) are typical NP-hard optimization problems which have significant values in manufacturing environments. Intelligent Water Drops (IWD) is a new type of m eta-heuristics which shows excellent ability of solving optimization problems. In this research, IWD is improved and customized to solve SOJSSP and MOJSSP problems. Experiments have been conducted, and the results show that the enhanced algorithms have comparable if not better performance compared to current literature in solving these two types of problems. To the best of the authors' knowledge, this is among the first research employing IWD for solving SOJSSP and MOJSSP. © IFAC.
Source Title: IFAC Proceedings Volumes (IFAC-PapersOnline)
ISBN: 9783902823359
ISSN: 14746670
DOI: 10.3182/20130619-3-RU-3018.00343
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.


checked on Dec 10, 2018

Page view(s)

checked on Dec 15, 2018

Google ScholarTM



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.