Sedthapoom Thoucharee, Rapeepan Pitakaso, and Thanchuda Phannikul

DOI: 10.14456/sjst-psu.2017.75

pp. 609 - 617

Abstract

This research presents the application of Modified Differential Evolution (MODDE) for the the supply chain
management of rice in the Lower North-Eastern region of Thailand in order to compare the efficiency of the problem solution
with the Differential Evolution (DE) Method and also to reduce logistical costs in the Lower North-Eastern region of Thailand
by experimenting with real and randomly generated problems with a total of 17 instances. 14 instances are of small and
medium size problems. Computational results show that MODDE can produce in average 92.38% of Global Optimal; answers
obtained from Global Optimal are about 0.0448% different and the average computing time is about 2.27% shorter than for
DE. If the problem is larger, it is found that MODDE can encounter a Best solution difference from the best objective of
-3.5838% in average. It can also reduce the objective value of the case study (I93-J12-L18-N12) by 10.64%.