Sangam: A Confluence of Knowledge Streams

A Case Study of Scheduling Storage Tanks Using a Hybrid Genetic Algorithm

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dc.creator Dahal, Keshav P.
dc.creator Burt, G.M.
dc.creator McDonald, J.R.
dc.creator Moyes, A.
dc.date 2008-11-28T14:41:12Z
dc.date 2008-11-28T14:41:12Z
dc.date 2001
dc.identifier Dahal, K.P., Burt, G.M., McDonald, J.R. and Moyes, A. (2001). A Case Study of Scheduling Storage Tanks Using a Hybrid Genetic Algorithm. IEEE Transactions on Evolutionary Computation. Vol. 5, No. 3, pp. 283-294.
dc.identifier http://hdl.handle.net/10454/948
dc.description Yes
dc.description 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.
dc.language en
dc.relation http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=00930316
dc.rights © 2001 IEEE. Reprinted from IEEE Transactions on Evolutionary Computation. 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 Heuristic Approach
dc.subject Scheduling
dc.subject Storage Tanks
dc.title A Case Study of Scheduling Storage Tanks Using a Hybrid Genetic Algorithm
dc.type Article


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