Application of Modified Differential Evolution for the supply chain management of rice in the lower North-Eastern Region of Thailand

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%.

Keywords

• the supply chain management of rice
• modified differential evolution (MODDE)