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 (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.

• Share and Export
  

  RDF+XMLBibTeXRIOXX2 XMLRDF+N-TriplesJSONDublin CoreAtomSimple MetadataReferMETSHTML CitationASCII CitationOpenURL ContextObjectEndNoteOpenURL ContextObject in SpanMODSMPEG-21 DIDLEP3 XMLData Cite XMLRIS (EndNote Online, Zotero, Ref manager, etc)RDF+N3Multiline CSV
• Item metadata

  Item type:	Article
  ID code:	3574
  Dates:	Date Event 2001 Published
  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 Apr 2024 15:18
  URI:	https://strathprints.strath.ac.uk/id/eprint/3574