International Journal of Industiral Engineering & Producion Research
نشریه بین المللی مهندسی صنایع و تحقیقات تولید
IJIEPR
Engineering & Technology
http://ijiepr.iust.ac.ir
18
agent2
2008-4889
2345-363X
10.22068/ijiepr
en
jalali
1389
2
1
gregorian
2010
5
1
21
2
online
1
fulltext
en
Tabu-KM: A Hybrid Clustering Algorithm Based on Tabu Search Approach
و موضوعات مربوط
Other Related Subject
پژوهشي
Research
<p> <i> The clustering problem under the criterion of minimum sum of squares is a non-convex and non-linear program, which possesses many locally optimal values, resulting that its solution often falls into these trap and therefore cannot converge to global optima solution. In this paper, an efficient hybrid optimization algorithm is developed for solving this problem, called Tabu-KM. It gathers the optimization property of tabu search and the local search capability of k-means algorithm together. The contribution of proposed algorithm is to produce tabu space for escaping from the trap of local optima and finding better solutions effectively. The Tabu-KM algorithm is tested on several simulated and standard datasets and its performance is compared with k-means, simulated annealing, tabu search, genetic algorithm, and ant colony optimization algorithms. The experimental results on simulated and standard test problems denote the robustness and efficiency of the algorithm and confirm that the proposed method is a suitable choice for solving data clustering problems. </i></p>
Clustering problem, Hybrid algorithm, Tabu search algorithm, k-Means algorithm.
71
79
http://ijiepr.iust.ac.ir/browse.php?a_code=A-10-94-7&slc_lang=en&sid=1
M.
Yaghini
yaghini@iust.ac.ir
`18003194753284600602`

18003194753284600602
Yes
N.
Ghazanfari
`18003194753284600676`

18003194753284600676
No