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

doi:10.1145/1068009.1068372

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

Electronic And Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

2 Citations (Scopus)

40 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 language	English
Title of host publication	GECCO '05: Proceedings of the 7th annual conference on Genetic and evolutionary computation
Editors	Hans-Georg Beyer
Pages	2197–2198
Number of pages	2
ISBN (Electronic)	978-1-59593-010-1
DOIs	https://doi.org/10.1145/1068009.1068372
Publication status	Published - 25 Jun 2005
Event	Genetic and Evolutionary Computation Conference - Washington, United States Duration: 25 Jun 2005 → 29 Jun 2005

Conference

Conference	Genetic and Evolutionary Computation Conference
Abbreviated title	GECCO 2005
Country/Territory	United States
City	Washington
Period	25/06/05 → 29/06/05

Keywords

process facility optimization
event simulation
genetic algorithm

Access to Document

10.1145/1068009.1068372

P2197Submitted manuscript, 164 KB

Cite this

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title = "A case study of process facility optimization using discrete event simulation and genetic algorithm",

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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author = "K. Dahal and S.J. Galloway and G.M. Burt and J.R. McDonald and I. Hopkins",

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doi = "10.1145/1068009.1068372",

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pages = "2197–2198",

editor = "Hans-Georg Beyer",

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Dahal, K, Galloway, SJ , Burt, GM , McDonald, JR & Hopkins, I 2005, A case study of process facility optimization using discrete event simulation and genetic algorithm. in H-G Beyer (ed.), GECCO '05: Proceedings of the 7th annual conference on Genetic and evolutionary computation. pp. 2197–2198, Genetic and Evolutionary Computation Conference, Washington, United States, 25/06/05. https://doi.org/10.1145/1068009.1068372

A case study of process facility optimization using discrete event simulation and genetic algorithm. / Dahal, K.; Galloway, S.J.; Burt, G.M. et al.
GECCO '05: Proceedings of the 7th annual conference on Genetic and evolutionary computation. ed. / Hans-Georg Beyer. 2005. p. 2197–2198.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

TY - GEN

T1 - A case study of process facility optimization using discrete event simulation and genetic algorithm

AU - Dahal, K.

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AU - McDonald, J.R.

AU - Hopkins, I.

PY - 2005/6/25

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N2 - 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.

AB - 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.

KW - process facility optimization

KW - event simulation

KW - genetic algorithm

UR - https://www.cs.bham.ac.uk/~wbl/biblio/gecco2005/docs/p2197.pdf

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DO - 10.1145/1068009.1068372

M3 - Conference contribution book

SP - 2197

EP - 2198

BT - GECCO '05: Proceedings of the 7th annual conference on Genetic and evolutionary computation

A2 - Beyer, Hans-Georg

T2 - Genetic and Evolutionary Computation Conference

Y2 - 25 June 2005 through 29 June 2005

ER -

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

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Keywords

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