Using the modified Kerre's method, we propose a new variable neighborhood search algorithm for solving fuzzy number linear programming problems. In our algorithm, the local search is defined based on ...

A framework based on advanced AI techniques can solve ... in a linear fashion with respect to the problem size. HypOp can solve these complex problems in a more scalable manner by using a new ...

We assume that the k-linear factors of the upper level problem and the l-linear factors of the lower level problem to be non-negative. In this paper, we propose an algorithm based on branch-and-cut ...

Prior work on solving vehicle routing problems using machine learning has mainly focused on auto-regressive models, which are connected to high computational costs when combined with classical exact ...

by interchanging the parameters of linear programming problem by fuzzy numbers. Several methods have been proposed in the literature to solve FLPP. Firstly, Bellman and Zadeh in [2] proposed decision ...

By default, you will first view the standard calculator used for math problems we face ... multiple equations on a single graph, which can help in linear programming. All the equations are color ...