Yes / This paper proposes the application of a
genetic algorithm based methodology for the scheduling
of storage tanks. The proposed approach is an
integration of GA and heuristic rule-based techniques,
which decomposes the complex mixed integer
optimisation 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 a test problem related to a water
treatment facility at a port, and has been found to give a
significantly better schedule than those generated using a
heuristic-based approach.
| Identifer | oai:union.ndltd.org:BRADFORD/oai:bradscholars.brad.ac.uk:10454/951 |
| Date | January 1999 |
| Creators | Dahal, Keshav P., Aldridge, C.J., McDonald, J.R., Burt, G.M. |
| Source Sets | Bradford Scholars |
| Language | English |
| Detected Language | English |
| Type | Conference paper |
| Rights | © 1999 IEEE. Reprinted from the Proceedings of the Congress on Evolutionary Computation - CEC. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of the University of Bradford's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org. By choosing to view this document, you agree to all provisions of the copyright laws protecting it. |
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