A biologically inspired model for transshipment problem

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.

Biological and Shortest-Path Routing Procedures for Transportation Network Design

“…to be made possible [8]. The automated design of transportation network has a range of applications going from solving transshipment problems [9] to the computation of space trajectories [17]. In the social sciences, researchers want to compare efficient simulated networks with the real ones (railroads, railways, etc.)…”