Comparative study of different approaches to solve batch process scheduling and optimisation problems

Wei Huang
,
Yong Yue
,
Yaqing Tan
,
Yanming Sun

Research Output:

Chapter in Book/Report/Conference proceeding

Conference contribution

Peer-review

Open access

Abstract

Effective approaches are important to batch process scheduling problems, especially those with complex constraints. However, most research focus on improving optimisation techniques, and those concentrate on comparing their difference are inadequate. This study develops an optimisation model of batch process scheduling problems with complex constraints and investigates the performance of different optimisation techniques, such as Genetic Algorithm (GA) and Constraint Programming (CP). It finds that CP has a better capacity to handle batch process problems with complex constraints but it costs longer time.

Publication Information

Output type

Research Output:

Chapter in Book/Report/Conference proceeding

Conference contribution

Peer-review

Original language

English

Publication milestones

Published - 01/01/2012

Publication status

Published - 01/01/2012

Publisher

Institute of Electrical and Electronics Engineers Inc., United States

ISBN (Print)

9781467317221

ISBN (Electronic)

9781467317221

Publication IDs

handle.net: 10547/275817

Host publication title

nan

Access to documents

06330519.pdf

Accepted author manuscript, 301.87 KB

License:CC BY-NC-ND

http://ieeexplore.ieee.org/xpl/articleDetails.jsp%3Freload%3Dtrue%26arnumber%3D6330519

Handle.net

Persistent link

Publication metrics

Metrics

Download statistics

Download count