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

Full text not available in this repository.Request a copy from the Strathclyde author

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. ORCID logoORCID: https://orcid.org/0000-0002-7078-845X, Burt, G.M. ORCID logoORCID: https://orcid.org/0000-0002-0315-5919 and Moyes, A.J.;
CORE (COnnecting REpositories)