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All Journal EKSAKTA: Journal of Sciences and Data Analysis
Rizky Kusumawardani
Universitas Islam Indonesia, Jl. Kaliurang Km 14.5 Yogyakarta
Chemical Engineering, Chemistry & Bioengineering Chemistry Earth & Planetary Sciences Materials Science & Nanotechnology

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Optimization of Transportation Cost Using Genetic Algorithm Rizky Kusumawardani
EKSAKTA: Journal of Sciences and Data Analysis VOLUME 17, ISSUE 1, February 2017
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/eksakta.vol17.iss1.art4

Abstract

Transportation model is application of linear programming that is used to obtain optimum results from distribution issue, especially for minimize transportation cost. General transportation model requires two stages to obtain optimum results such as initial solution method and optimum solution method. These methods are not effective, because it need two stages. Moreover, selection of initial solution method will distinguish the number of iteration on optimum solution method. Therefore, in this study other method such as genetic algorithm that required one stage was used. Genetic algorithm was chosen as alternative method for transportation issue because this method didn’t need two stages and proved to be nice to solve optimization problems. The goal of this study to got method that more effective between combination of North West Corner (NWC) and Modified Distribution Method (MODI) with genetic algorithm to solved two data transportation issues. Based on results, the combination NWC and MODI was more effective for minimize transportation cost than genetic algorithm for two data that solved in this study
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