A Case Study of Scheduling Storage Tanks Using a Hybrid Genetic Algorithm
| Autor: | Dahal, Keshav P., Burt, G.M., McDonald, J.R., Moyes, A. |
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| Jazyk: | angličtina |
| Rok vydání: | 2001 |
| Předmět: | |
| Druh dokumentu: | Článek |
| DOI: | 10.1109/4235.930316 |
| Popis: | Yes 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. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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