Graph Partitioning using Artificial Fish Algorithm
Publish place: 11th Intelligent Systems Conference
Publish Year: 1391
Type: Conference paper
Language: English
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Document National Code:
ICS11_268
Index date: 6 October 2013
Graph Partitioning using Artificial Fish Algorithm abstract
The problem of partitioning graphs connected into balance componentsis used in many computations. This problem is considered a NP-complete problem and since it is very important and has many applications, tools and solutions that have been suggested to it. Some of these solutions are heuristic and approximate algorithms. In this paper, we have used approximate optimization algorithm of artificial fish, which is derived from group behaviour of fish, to tackle this problem. In this algorithm, the behaviour of individual fish and their interactions are used and considerable results can be obtained
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Graph Partitioning using Artificial Fish Algorithm authors
Sina Zangbari Kouhi
Aras International Campus, University of Tabriz
Faranak Nejati
Aras International Campus, University of Tabriz
Shahriar Lotfi
Department of Computer Science, University of Tabriz