USING GENETIC ALGORTIHM TO SOLVE STEINER MINIMUM SPANNING TREE PROBLEM

被引:0
|
作者
Isci, Oznur [1 ]
Korukoglu, Serdar [2 ]
机构
[1] Mugla Univ, Fen Edebiyat Fak, Istat Bolumu, TR-48170 Mugla, Turkey
[2] Ege Univ, Muhendislik Fak, Bilgisayar Muhendisligi Bolumu, TR-35000 Izmir, Turkey
关键词
Genetic algorithm; Minimum spanning tree problem; Steiner minimum spanning tree problem;
D O I
暂无
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Genetic algorithms (GA) are a stochastic research methods, and they produce solutions that are close to optimum or near optimum. In addition to GA's successful application to traveling salesman problem, square designation, allocation, workshop table, preparation of lesson/ examination schedules, planning of communication networks, assembling line balanced, minimum spanning tree type many combinatorial optimization problems it would be applicable to make the best comparison in optimization. In this study a Java program is developed to solve Steiner minimum spanning tree problem by genetic algorithm and its performance is examined. According to the tests carried out on the problems that were given before in the literature, results that are close to optimum are obtained in by GA approach that is recommended in this study. For the predetermined points in the study, length and gain are calculated for Steiner minimum spanning tree problem and minimum spanning tree problem.
引用
收藏
页码:429 / 437
页数:9
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