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.
ORCID iDs
Dahal, K., Galloway, S.J.


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Item type: Conference or Workshop Item(Paper) ID code: 11352 Dates: DateEvent29 June 2005PublishedKeywords: process facility optimization , event simulation , genetic algorithm, Electrical Engineering. Electronics Nuclear Engineering, Electrical and Electronic Engineering Subjects: Technology > Electrical engineering. Electronics Nuclear engineering Department: Faculty of Engineering > Electronic and Electrical Engineering
Professional Services > Corporate Services DirectorateDepositing user: Strathprints Administrator Date deposited: 12 Aug 2011 13:42 Last modified: 25 May 2023 08:31 URI: https://strathprints.strath.ac.uk/id/eprint/11352