Sangam: A Confluence of Knowledge Streams

A GA-based technique for the scheduling of storage tanks

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dc.creator Dahal, Keshav P.
dc.creator Aldridge, C.J.
dc.creator McDonald, J.R.
dc.creator Burt, G.M.
dc.date 2008-12-02T12:03:51Z
dc.date 2008-12-02T12:03:51Z
dc.date 1999
dc.identifier Dahal K.P.,Aldridge, C.J., McDonald J.R. and Burt G.M. (1999). A GA-based technique for the scheduling of storage tanks. Congress on Evolutionary Computation (CEC). Washington, DC, USA. 6-9 July 1999. Proceedings of the Congress on Evolutionary Computation. Vol. 3., pp. -2206.
dc.identifier http://hdl.handle.net/10454/951
dc.description Yes
dc.description 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.
dc.language en
dc.relation http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=785548&isnumber=16970
dc.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.
dc.subject Genetic Algorithms
dc.subject Scheduling
dc.subject Storage Tanks
dc.subject Heuristics
dc.title A GA-based technique for the scheduling of storage tanks
dc.type Conference paper


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