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Analisa Parameter Algoritma Genetika pada Penyelesaian Problem Transportasi.
Journal from JIPTUNMERPP / 2008-01-09 09:44:55
Oleh : Lucky Tri Oktaviana, Faculty_of_Information_Technology_-_Merdeka_Univer
Dibuat : 2006-12-01, dengan file
Keyword : Genetic Algorithms, Parameter, transportation problems.
Genetic algorithms represent optimization technique which relied on a natural evolution process, where in the natural evolution individual experience to the nature selection mechanism (among cross over and mutation) to earn to live on. Perceivable genetic algorithms as algorithm probabilistic by high inteligence where earning application in so many optimization problems type both for combinatorial and also non combinatorial. Genetic algorithms have obtained a prosound interest with reference to its ability as optimization technique for the complex problems. This article shows the influences of genetic algorithms parameters including the value of population, cross over probability. mutation probability and maximum generation in order to solve the transportation problems so that solution near to global optimum.
Deskripsi Alternatif :Genetic algorithms represent optimization technique which relied on a natural evolution process, where in the natural evolution individual experience to the nature selection mechanism (among cross over and mutation) to earn to live on. Perceivable genetic algorithms as algorithm probabilistic by high inteligence where earning application in so many optimization problems type both for combinatorial and also non combinatorial. Genetic algorithms have obtained a prosound interest with reference to its ability as optimization technique for the complex problems. This article shows the influences of genetic algorithms parameters including the value of population, cross over probability. mutation probability and maximum generation in order to solve the transportation problems so that solution near to global optimum.
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