شماره ركورد كنفرانس :
4418
عنوان مقاله :
Graph Partitioning using Artificial Fish Algorithm
پديدآورندگان :
Zangbari Kouhi Sina Aras International Campus, University of Tabriz , Nejati Faranak Aras International Campus, University of Tabriz , Lotfi Shahriar Department of Computer Science, University of Tabriz
كليدواژه :
Graph partitioning , Approximation Algorithm , Artificial Fish
عنوان كنفرانس :
يازدهمين كنفرانس سراسري سيستم هاي هوشمند
چكيده فارسي :
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
