Strathprints Home | Open Access | Browse | Search | User area | Copyright | Help | Library Home | SUPrimo

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, Washington.

[img]
Preview
PDF - Draft Version
Download (163Kb) | Preview

    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.

    Item type: Conference or Workshop Item (Paper)
    ID code: 11352
    Keywords: process facility optimization , event simulation , genetic algorithm, Electrical engineering. Electronics Nuclear engineering
    Subjects: Technology > Electrical engineering. Electronics Nuclear engineering
    Department: Faculty of Engineering > Electronic and Electrical Engineering
    Professional Services > Corporate Services Directorate
    Related URLs:
      Depositing user: Strathprints Administrator
      Date Deposited: 12 Aug 2011 14:42
      Last modified: 20 Jul 2013 16:51
      URI: http://strathprints.strath.ac.uk/id/eprint/11352

      Actions (login required)

      View Item

      Fulltext Downloads: