A common Tabu search algorithm for the global optimization of engineering problems

J. M. Machado; Yang Shiyou; Siu Lau Ho; Ni Peihong

doi:10.1016/S0045-7825(00)00281-4

A common Tabu search algorithm for the global optimization of engineering problems

J. M. Machado, Yang Shiyou, Siu Lau Ho, Ni Peihong

Research output: Journal article publication › Journal article › Academic research › peer-review

28 Citations (Scopus)

Abstract

A novel common Tabu algorithm for global optimizations of engineering problems is presented. The robustness and efficiency of the presented method are evaluated by using standard mathematical functions and by solving a practical engineering problem. The numerical results show that the proposed method is (i) superior to the conventional Tabu search algorithm in robustness, and (ii) superior to the simulated annealing algorithm in efficiency.

Original language	English
Pages (from-to)	3501-3510
Number of pages	10
Journal	Computer Methods in Applied Mechanics and Engineering
Volume	190
Issue number	26-27
DOIs	https://doi.org/10.1016/S0045-7825(00)00281-4
Publication status	Published - 16 Mar 2001

Keywords

Domain elimination method
Global optimization
Stochastic optimization algorithm
Tabu search method

ASJC Scopus subject areas

Computer Science Applications
Computational Mechanics

More information

10.1016/S0045-7825(00)00281-4

Cite this

@article{8aa9ca69f7c74346a659fac0e03b5f28,

title = "A common Tabu search algorithm for the global optimization of engineering problems",

abstract = "A novel common Tabu algorithm for global optimizations of engineering problems is presented. The robustness and efficiency of the presented method are evaluated by using standard mathematical functions and by solving a practical engineering problem. The numerical results show that the proposed method is (i) superior to the conventional Tabu search algorithm in robustness, and (ii) superior to the simulated annealing algorithm in efficiency.",

keywords = "Domain elimination method, Global optimization, Stochastic optimization algorithm, Tabu search method",

author = "Machado, {J. M.} and Yang Shiyou and Ho, {Siu Lau} and Ni Peihong",

year = "2001",

month = mar,

day = "16",

doi = "10.1016/S0045-7825(00)00281-4",

language = "English",

volume = "190",

pages = "3501--3510",

journal = "Computer Methods in Applied Mechanics and Engineering",

issn = "0374-2830",

publisher = "Elsevier",

number = "26-27",

}

TY - JOUR

T1 - A common Tabu search algorithm for the global optimization of engineering problems

AU - Machado, J. M.

AU - Shiyou, Yang

AU - Ho, Siu Lau

AU - Peihong, Ni

PY - 2001/3/16

Y1 - 2001/3/16

N2 - A novel common Tabu algorithm for global optimizations of engineering problems is presented. The robustness and efficiency of the presented method are evaluated by using standard mathematical functions and by solving a practical engineering problem. The numerical results show that the proposed method is (i) superior to the conventional Tabu search algorithm in robustness, and (ii) superior to the simulated annealing algorithm in efficiency.

AB - A novel common Tabu algorithm for global optimizations of engineering problems is presented. The robustness and efficiency of the presented method are evaluated by using standard mathematical functions and by solving a practical engineering problem. The numerical results show that the proposed method is (i) superior to the conventional Tabu search algorithm in robustness, and (ii) superior to the simulated annealing algorithm in efficiency.

KW - Domain elimination method

KW - Global optimization

KW - Stochastic optimization algorithm

KW - Tabu search method

UR - http://www.scopus.com/inward/record.url?scp=0035896050&partnerID=8YFLogxK

U2 - 10.1016/S0045-7825(00)00281-4

DO - 10.1016/S0045-7825(00)00281-4

M3 - Journal article

VL - 190

SP - 3501

EP - 3510

JO - Computer Methods in Applied Mechanics and Engineering

JF - Computer Methods in Applied Mechanics and Engineering

SN - 0374-2830

IS - 26-27

ER -

A common Tabu search algorithm for the global optimization of engineering problems

Abstract

Keywords

ASJC Scopus subject areas

More information

Other files and links

Cite this