Pemodelan Constrained Multiobjective Optimization pada Model Keputusan Optimal Pareto Frontier

Abstract

In everyday life, all problems in our environment can be solved by using mathemat- ical modeling. The application of mathematical modeling in generating solutions often provides a single-purpose value. The solution given by the single objective function sometimes does not provide the optimal solution value. In this study, the authors modeled multiobjective problems with time and distance constraints from a case to the vehicle routing problem using the metaheuristic method of the Ant Colony Optimization (ACO) algorithm, and then applied the pareto principle of optimization to determining optimal travel routes. The result of this study is the optimal solution of the pareto frontier principle in the multi-objective model with constraints using the ant colony optimization algorithm.