Journal of Enviromental Engineering and Sustainable Technology
Vol 3, No 1 (2016)

OPTIMIZATION OF FROZEN FOOD DISTRIBUTION USING GENETIC ALGORITHMS

Widdia Lesmawati (Universitas Brawijaya)
Asyrofa Rahmi (Faculty of Computer Science Universitas Brawijaya)
Wayan Firdaus Mahmudy (Faculty of Computer Science Universitas Brawijaya)



Article Info

Publish Date
06 Aug 2016

Abstract

Nowadays, 30% of Indonesian consume frozen foods because it is more practical and efficient. The increase of demand requires a good distribution system. The distribution problem can be solved using genetic algorithms. Crossover method used in this study is one-cut point crossover, the mutation method used is reciprocal exchange mutation and the selection method used is elitism selection. The data used in this study is 15 of customers, 11 of product types, 5 vehicles and distance data between regions. From the tests, we found that optimal results are achieved using the population size of 1950, 700 generations, a combination of crossover rate (cr) = 0.5 and mutation rate (mr) = 0.6. The final result is a combination of the customer and vehicle order that distribute all products to all customers with the minimum total distance and cost.

Copyrights © 2016






Journal Info

Abbrev

JEEST

Publisher

Subject

Environmental Science

Description

JEEST is an interdisciplinary and refereed journal, addresses matters related to environmental engineering and sustainable technology. Its range of themes encompasses ecological studies, field research, empirical work and descriptive analyses on topics such as environmental systems, environmental ...