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A Case Study of Scheduling Storage Tanks Using a Hybrid Genetic Algorithm
Dahal, Keshav P. Burt, G.M. McDonald, J.R. Moyes, A.
Dahal, Keshav P.
Burt, G.M.
McDonald, J.R.
Moyes, A.
Publication Date
2001
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© 2001 IEEE. Reprinted from IEEE Transactions on Evolutionary Computation.
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Abstract
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.
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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.
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