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Analisis parameter algoritma genetika pada penyelesaian problem transportasi
Journal from JIPTUNMERPP / 2009-01-07 23:40:30
Oleh : Lucky Tri Oktoviana , Faculty of Information Technology Merdeka University Malang
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 genetic algorithm probabilistic by high intelligence where earning application in so many optimization problems type both for combinatorial and also non combinational. Genetic algorithms have obtained a profound 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 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 genetic algorithm probabilistic by high intelligence where earning application in so many optimization problems type both for combinatorial and also non combinational. Genetic algorithms have obtained a profound 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 solve the transportation problems so that solution near to global optimum.
Copyrights : Copyright (c) 2009 by Digital Library Universitas Merdeka Malang. Verbatim copying and distribution of this entire article is permitted by author in any medium, provided this notice is preserved.
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- Editor: Wiwik Supriyanti, Dra. SS.