Open Access
Optimasi Pemilihan Barang Dagangan bagi Pedagang Keliling dengan Algoritma Genetika
Author(s) -
Iryanto Iryanto,
Eka Ismantohadi
Publication year - 2017
Publication title -
jtt (jurnal teknologi terapan)
Language(s) - English
Resource type - Journals
eISSN - 2549-1938
pISSN - 2477-3506
DOI - 10.31884/jtt.v3i1.2
Subject(s) - profit (economics) , computer science , selection (genetic algorithm) , mathematical optimization , genetic algorithm , capital good , microeconomics , mathematical economics , operations research , economics , mathematics , public good , artificial intelligence
Existence of constraints increases difficulty in choosing the right goods for a seller. Indeed, the seller wants to optimize the profit gained. Due to limitation of capital and maximum capacity, the seller needs a certain strategy to do the selection. Moreover the fact that each goods has its own probability to sell makes the problem becomes more complex. In this paper, the problem is solved using genetic algorithm. The result of simulation is in a good agreement with analytical solution. The simulation of N-goods selection is also given in the paper.