Strathprints logo
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
p2197.pdf - Draft Version

Download (167kB) | 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
Depositing user: Strathprints Administrator
Date Deposited: 12 Aug 2011 13:42
Last modified: 26 Mar 2015 20:39
URI: http://strathprints.strath.ac.uk/id/eprint/11352

Actions (login required)

View Item View Item