DocumentCode
2916823
Title
A new hybrid Genetic Algorithm for solving the Bounded Diameter Minimum Spanning Tree problem
Author
Binh, Huynh Thi Thannh ; Hoai, Nguyen Xuan ; McKay, R. I Bob
Author_Institution
Dept. of Inf. Technol., Hanoi Univ. of Technol., Hanoi
fYear
2008
fDate
1-6 June 2008
Firstpage
3128
Lastpage
3134
Abstract
In this paper, a new hybrid genetic algorithm - known as HGA - is proposed for solving the bounded diameter minimum spanning tree (BDMST) problem. We experiment with HGA on two sets of benchmark problem instances, both Euclidean and Non-Euclidean. On the Euclidean problem instances, HGA is shown to outperform the previous best two genetic algorithms (GAs) reported in the BDMST literature, while on the Non-Euclidean problem instance, HGA performs comparably with these two GAs.
Keywords
genetic algorithms; trees (mathematics); Euclidean problem instance; HGA; bounded diameter minimum spanning tree problem; hybrid genetic algorithm; nonEuclidean problem instance; Evolutionary computation; Genetic algorithms;
fLanguage
English
Publisher
ieee
Conference_Titel
Evolutionary Computation, 2008. CEC 2008. (IEEE World Congress on Computational Intelligence). IEEE Congress on
Conference_Location
Hong Kong
Print_ISBN
978-1-4244-1822-0
Electronic_ISBN
978-1-4244-1823-7
Type
conf
DOI
10.1109/CEC.2008.4631221
Filename
4631221
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