Solving a multi-objective, source & stage location-allocation problem using MODDE

Abstract

        The objective of this research is to select some potential sites to be opened as the ethanol plants. The selected plants will use bagasse from sugar industries and cassava pulp from cassava flour industries as the raw material of their production process. The case study will scope in northeastern area of Thailand. The objectives function that we consider including economic, environmental and social risk objectives. The case study addressed above is the multi-stages multi objectives location allocation. The process of solving the case study is as following: firstly, we formulate the mathematical model to represent the case study and then solve it by optimization software package (Lingo v.11). Lingo v.11 can not find optimal solution but can find as lower bound solution and use time more than 5 hours computational time. Currently in this article, we develop the modified differential evolutionary algorithm (MODDE) to solve the case study. From the computational result MODDE can find 5% higher cost than that of Lingo but use 99% less computational time.