A case study of scheduling storage tanks using a hybrid genetic algorithm
Dahal, K. and McDonald, J.R. and Burt, G.M. and Moyes, A.J. (2001) A case study of scheduling storage tanks using a hybrid genetic algorithm. IEEE Transactions on Evolutionary Computation, 5 (3). pp. 283-294. ISSN 1089-778X
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This paper proposes the application of a hybrid genetic algorithm (GA) for scheduling storage tanks. The proposed approach integrates GAs and heuristic rule-based techniques, decomposing the complex mixed-integer optimization problem into integer and real-number subproblems. The GA string considers the integer problem and the heuristic approach solves the real-number problems within the GA framework. The algorithm is demonstrated for three test scenarios of a water treatment facility at a port and has been found to be robust and to give a significantly better schedule than those generated using a random search and a heuristic-based approach.
| Creators(s): |
Dahal, K., McDonald, J.R.  ORCID: https://orcid.org/0000-0002-7078-845X, Burt, G.M. ORCID: https://orcid.org/0000-0002-0315-5919 and Moyes, A.J.;
| Item type: | Article |
|---|---|
| ID code: | 3574 |
| Keywords: | genetic algorithms, process control, scheduling, water treatment, power systems, Electrical engineering. Electronics Nuclear engineering, Computational Theory and Mathematics, Theoretical Computer Science, Software |
| Subjects: | Technology > Electrical engineering. Electronics Nuclear engineering |
| Department: | Faculty of Engineering > Electronic and Electrical Engineering Professional Services > Corporate Services Directorate |
| Depositing user: | Strathprints Administrator |
| Date deposited: | 13 Jun 2007 |
| Last modified: | 20 Jan 2021 16:44 |
| URI: | https://strathprints.strath.ac.uk/id/eprint/3574 |
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