A biologically inspired model for transshipment problem

TL;DR

This paper introduces a biologically inspired mathematical model for the transshipment problem that is simpler and more efficient than existing methods, demonstrating its effectiveness through experimental results.

Contribution

The paper develops a novel biologically inspired model for solving the transshipment problem with lower computational complexity than previous approaches.

Findings

The model effectively solves the transshipment problem.

It has lower computational complexity than Physarum Solver.

Experimental results show the model is simple and effective.

Abstract

Transshipment problem is one of the basic operational research problems. In this paper, our first work is to develop a biologically inspired mathematical model for a dynamical system, which is first used to solve minimum cost flow problem. It has lower computational complexity than Physarum Solver. Second, we apply the proposed model to solve the traditional transshipment problem. Compared with the conditional methods, experiment results show the provided model is simple, effective as well as handling problem in a continuous manner.