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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Official URL: http://dx.doi.org/10.1109/4235.930316

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.

ORCID iDs

Dahal, K., McDonald, J.R.

, Burt, G.M.

and Moyes, A.J.;

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Item metadata

Item type:	Article
ID code:	3574
Dates:	Date Event 2001 Published
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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