Simulation optimization using tabu search: An emperical study

Abdullah Konak; Sadan Kulturel-Konak

doi:10.1109/WSC.2005.1574571

Simulation optimization using tabu search: An emperical study

Abdullah Konak, Sadan Kulturel-Konak

Division of Engineering, Business & Computing (Berks)

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

6 Scopus citations

Abstract

This paper proposes alternative strategies to perform simulation within a simulation optimization algorithm based on tabu search. These strategies are tested empirically on a stochastic knapsack problem. Results have shown that the way simulation is implemented and the number of simulation replications have a profound effect on the performance of tabu search.

Original language	English (US)
Title of host publication	Proceedings of the 2005 Winter Simulation Conference
Pages	2686-2692
Number of pages	7
DOIs	https://doi.org/10.1109/WSC.2005.1574571
State	Published - 2005
Event	2005 Winter Simulation Conference - Orlando, FL, United States Duration: Dec 4 2005 → Dec 7 2005

Publication series

Name	Proceedings - Winter Simulation Conference
Volume	2005
ISSN (Print)	0891-7736

Other

Other	2005 Winter Simulation Conference
Country/Territory	United States
City	Orlando, FL
Period	12/4/05 → 12/7/05

All Science Journal Classification (ASJC) codes

Software
Modeling and Simulation
Computer Science Applications

Access to Document

10.1109/WSC.2005.1574571

Cite this

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title = "Simulation optimization using tabu search: An emperical study",

abstract = "This paper proposes alternative strategies to perform simulation within a simulation optimization algorithm based on tabu search. These strategies are tested empirically on a stochastic knapsack problem. Results have shown that the way simulation is implemented and the number of simulation replications have a profound effect on the performance of tabu search.",

author = "Abdullah Konak and Sadan Kulturel-Konak",

year = "2005",

doi = "10.1109/WSC.2005.1574571",

language = "English (US)",

isbn = "0780395204",

series = "Proceedings - Winter Simulation Conference",

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booktitle = "Proceedings of the 2005 Winter Simulation Conference",

note = "2005 Winter Simulation Conference ; Conference date: 04-12-2005 Through 07-12-2005",

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AB - This paper proposes alternative strategies to perform simulation within a simulation optimization algorithm based on tabu search. These strategies are tested empirically on a stochastic knapsack problem. Results have shown that the way simulation is implemented and the number of simulation replications have a profound effect on the performance of tabu search.

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DO - 10.1109/WSC.2005.1574571

M3 - Conference contribution

AN - SCOPUS:33846690837

SN - 0780395204

SN - 9780780395206

T3 - Proceedings - Winter Simulation Conference

SP - 2686

EP - 2692

BT - Proceedings of the 2005 Winter Simulation Conference

Y2 - 4 December 2005 through 7 December 2005

ER -

Simulation optimization using tabu search: An emperical study

Abstract

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All Science Journal Classification (ASJC) codes

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