Methodology for service restoration based Adaptive-Selective Tabu Search (ASTS)

António Maurício De Matos Gonçalves; Luciana Cambraia Leite; João Onofre Pereira Pinto

doi:10.1109/ISDA.2007.4389696

Methodology for service restoration based Adaptive-Selective Tabu Search (ASTS)

António Maurício De Matos Gonçalves, Luciana Cambraia Leite, João Onofre Pereira Pinto

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

Abstract

The objective this paper is to present the development methodology, called Adaptive-Selective Tabu Search - ASTS, proposed to optimization of the transmission power systems restoration. The methodology is based on Tabu Search (TS) and Reactive Tabu Search (RTS) techniques with elements similar to those found in other Artificial Intelligent Methods, as elitism, aleatority and future analysis. These elements provide diversification and intensification mechanism to the search, beside of the predictive controlled characteristics. The proposed method is applied to the 20-nodes transmission real system and the simulations results obtained are satisfactory as well as the comparisons with other methodologies.

Original language	English
Title of host publication	Proceedings of The 7th International Conference on Intelligent Systems Design and Applications, ISDA 2007
Pages	741-746
Number of pages	6
DOIs	https://doi.org/10.1109/ISDA.2007.4389696
State	Published - 2007
Externally published	Yes
Event	7th International Conference on Intelligent Systems Design and Applications, ISDA'07 - Rio de Janeiro, Brazil Duration: Oct 22 2007 → Oct 24 2007

Publication series

Name	Proceedings of The 7th International Conference on Intelligent Systems Design and Applications, ISDA 2007

Conference

Conference	7th International Conference on Intelligent Systems Design and Applications, ISDA'07
Country/Territory	Brazil
City	Rio de Janeiro
Period	10/22/07 → 10/24/07

Access to Document

10.1109/ISDA.2007.4389696

Cite this

De Matos Gonçalves, A. M., Leite, L. C., & Pinto, J. O. P. (2007). Methodology for service restoration based Adaptive-Selective Tabu Search (ASTS). In Proceedings of The 7th International Conference on Intelligent Systems Design and Applications, ISDA 2007 (pp. 741-746). Article 4389696 (Proceedings of The 7th International Conference on Intelligent Systems Design and Applications, ISDA 2007). https://doi.org/10.1109/ISDA.2007.4389696

De Matos Gonçalves, António Maurício ; Leite, Luciana Cambraia ; Pinto, João Onofre Pereira. / Methodology for service restoration based Adaptive-Selective Tabu Search (ASTS). Proceedings of The 7th International Conference on Intelligent Systems Design and Applications, ISDA 2007. 2007. pp. 741-746 (Proceedings of The 7th International Conference on Intelligent Systems Design and Applications, ISDA 2007).

@inproceedings{249cc1b578744eacb80eb440b594e2ad,

title = "Methodology for service restoration based Adaptive-Selective Tabu Search (ASTS)",

abstract = "The objective this paper is to present the development methodology, called Adaptive-Selective Tabu Search - ASTS, proposed to optimization of the transmission power systems restoration. The methodology is based on Tabu Search (TS) and Reactive Tabu Search (RTS) techniques with elements similar to those found in other Artificial Intelligent Methods, as elitism, aleatority and future analysis. These elements provide diversification and intensification mechanism to the search, beside of the predictive controlled characteristics. The proposed method is applied to the 20-nodes transmission real system and the simulations results obtained are satisfactory as well as the comparisons with other methodologies.",

author = "{De Matos Gon{\c c}alves}, {Ant{\'o}nio Maur{\'i}cio} and Leite, {Luciana Cambraia} and Pinto, {Jo{\~a}o Onofre Pereira}",

year = "2007",

doi = "10.1109/ISDA.2007.4389696",

language = "English",

isbn = "0769529763",

series = "Proceedings of The 7th International Conference on Intelligent Systems Design and Applications, ISDA 2007",

pages = "741--746",

booktitle = "Proceedings of The 7th International Conference on Intelligent Systems Design and Applications, ISDA 2007",

note = "7th International Conference on Intelligent Systems Design and Applications, ISDA'07 ; Conference date: 22-10-2007 Through 24-10-2007",

}

De Matos Gonçalves, AM, Leite, LC & Pinto, JOP 2007, Methodology for service restoration based Adaptive-Selective Tabu Search (ASTS). in Proceedings of The 7th International Conference on Intelligent Systems Design and Applications, ISDA 2007., 4389696, Proceedings of The 7th International Conference on Intelligent Systems Design and Applications, ISDA 2007, pp. 741-746, 7th International Conference on Intelligent Systems Design and Applications, ISDA'07, Rio de Janeiro, Brazil, 10/22/07. https://doi.org/10.1109/ISDA.2007.4389696

Methodology for service restoration based Adaptive-Selective Tabu Search (ASTS). / De Matos Gonçalves, António Maurício; Leite, Luciana Cambraia; Pinto, João Onofre Pereira.
Proceedings of The 7th International Conference on Intelligent Systems Design and Applications, ISDA 2007. 2007. p. 741-746 4389696 (Proceedings of The 7th International Conference on Intelligent Systems Design and Applications, ISDA 2007).

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

TY - GEN

T1 - Methodology for service restoration based Adaptive-Selective Tabu Search (ASTS)

AU - De Matos Gonçalves, António Maurício

AU - Leite, Luciana Cambraia

AU - Pinto, João Onofre Pereira

PY - 2007

Y1 - 2007

N2 - The objective this paper is to present the development methodology, called Adaptive-Selective Tabu Search - ASTS, proposed to optimization of the transmission power systems restoration. The methodology is based on Tabu Search (TS) and Reactive Tabu Search (RTS) techniques with elements similar to those found in other Artificial Intelligent Methods, as elitism, aleatority and future analysis. These elements provide diversification and intensification mechanism to the search, beside of the predictive controlled characteristics. The proposed method is applied to the 20-nodes transmission real system and the simulations results obtained are satisfactory as well as the comparisons with other methodologies.

AB - The objective this paper is to present the development methodology, called Adaptive-Selective Tabu Search - ASTS, proposed to optimization of the transmission power systems restoration. The methodology is based on Tabu Search (TS) and Reactive Tabu Search (RTS) techniques with elements similar to those found in other Artificial Intelligent Methods, as elitism, aleatority and future analysis. These elements provide diversification and intensification mechanism to the search, beside of the predictive controlled characteristics. The proposed method is applied to the 20-nodes transmission real system and the simulations results obtained are satisfactory as well as the comparisons with other methodologies.

UR - http://www.scopus.com/inward/record.url?scp=48349128080&partnerID=8YFLogxK

U2 - 10.1109/ISDA.2007.4389696

DO - 10.1109/ISDA.2007.4389696

M3 - Conference contribution

AN - SCOPUS:48349128080

SN - 0769529763

SN - 9780769529769

T3 - Proceedings of The 7th International Conference on Intelligent Systems Design and Applications, ISDA 2007

SP - 741

EP - 746

BT - Proceedings of The 7th International Conference on Intelligent Systems Design and Applications, ISDA 2007

T2 - 7th International Conference on Intelligent Systems Design and Applications, ISDA'07

Y2 - 22 October 2007 through 24 October 2007

ER -

De Matos Gonçalves AM, Leite LC, Pinto JOP. Methodology for service restoration based Adaptive-Selective Tabu Search (ASTS). In Proceedings of The 7th International Conference on Intelligent Systems Design and Applications, ISDA 2007. 2007. p. 741-746. 4389696. (Proceedings of The 7th International Conference on Intelligent Systems Design and Applications, ISDA 2007). doi: 10.1109/ISDA.2007.4389696

Methodology for service restoration based Adaptive-Selective Tabu Search (ASTS)

Abstract

Publication series

Conference

Access to Document

Other files and links

Fingerprint

Cite this