Realtime multiple vehicle routing problem using self-organization map

Realtime multiple vehicle routing problem using self-organization map

0.00 Avg rating0 Votes
Article ID: iaor20013368
Country: South Korea
Volume: 25
Issue: 4
Start Page Number: 97
End Page Number: 109
Publication Date: Dec 2000
Journal: Journal of the Korean ORMS Society
Authors: ,
Abstract:

This work proposes a neural network approach to solve vehicle routing problems which have diverse application areas such as vehicle routing and robot programming. In solving these problems, classical mathematical approaches have many difficulties. In particular, it is almost impossible to implement a real-time vehicle routing with multiple vehicles. Recently, many researchers proposed methods to overcome the limitation by adopting heuristic algorithms, genetic algorithms, neural network techniques and others. The most basic model for path planning is the Travelling Salesman Problem (TSP) for a minimum distance path. We extend this for a problem with dynamic upcoming of new positions with multiple vehicles. In this paper, we propose an algorithm based on SOM (Self-Organization Map) to obtain a sub-optimal solution for a real-time vehicle routing problem. We develop a model of a generalized multiple TSP and suggest an efficient solving procedure.

Reviews

Required fields are marked *. Your email address will not be published.