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

K. Dahal, S.J. Galloway, G.M. Burt, J.R. McDonald, I. Hopkins

Research output: Contribution to conferencePaper

18 Downloads (Pure)

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.
Original languageEnglish
Publication statusPublished - 2005
EventGenetic and Evolutionary Computation Conference - Washington, United States
Duration: 25 Jun 200529 Jun 2005

Conference

ConferenceGenetic and Evolutionary Computation Conference
Abbreviated titleGECCO 2005
CountryUnited States
CityWashington
Period25/06/0529/06/05

    Fingerprint

Keywords

  • process facility optimization
  • event simulation
  • genetic algorithm

Cite this

Dahal, K., Galloway, S. J., Burt, G. M., McDonald, J. R., & Hopkins, I. (2005). A case study of process facility optimization using discrete event simulation and genetic algorithm. Paper presented at Genetic and Evolutionary Computation Conference, Washington, United States.