A case study of process facility optimization using discrete event simulation and genetic algorithm

Dahal, K. and Galloway, S.J. and Burt, G.M. and McDonald, J.R. and Hopkins, I. (2005) A case study of process facility optimization using discrete event simulation and genetic algorithm. In: Genetic and Evolutionary Computation Conference, 2005-06-25 - 2005-06-29. (https://www.cs.bham.ac.uk/~wbl/biblio/gecco2005/do...)

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Abstract

Optimization problems such as resource allocation, job-shop scheduling, equipment utilization and process scheduling occur in a broad range of processing industries. This paper presents modeling, simulation and optimization of a port facility such that effective operational management is obtained. A GA base approach has been integrated with the port system model to optimize its operation. A case study of bulk material port handling systems is considered.

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• Item metadata

  Item type:	Conference or Workshop Item(Paper)
  ID code:	11352
  Dates:	Date Event 29 June 2005 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:	12 Aug 2011 13:42
  Last modified:	09 Apr 2024 05:05
  URI:	https://strathprints.strath.ac.uk/id/eprint/11352