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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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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.

Item type:Article
ID code:3574
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:08 Mar 2019 03:01
URI:https://strathprints.strath.ac.uk/id/eprint/3574
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