Cost Optimization of Multi-Level Multi-Product Distribution Using An Adaptive Genetic Algorithm
Abstract: Distribution is the
challenging and interesting problem to be solved. Distribution problems have
many facets to be resolved because it is too complex problems such as limited
multi-level with one product, one-level and multi-product even desirable in
terms of cost also has several different versions. In this study is proposed
using an adaptive genetic algorithm that proved able to acquire efficient and
promising result than the classical genetic algorithm. As the study and the
extension of the previous study, this study applies adaptive genetic algorithm
considering the problems of multi-level distribution and combination of various
products. This study considers also the fixed cost and variable cost for each
product for each level distributor. By using the adaptive genetic algorithm,
the complexity of multi-level and multi-product distribution problems can be
solved. Based on the cost, the adaptive genetic algorithm produces the lowest
and surprising result compared to the existing algorithm
Author: Mohammad Zoqi Sarwani,
Wayan Firdaus Mahmudy, Agus Naba
Journal Code: jptinformatikagg160013
