Please use this identifier to cite or link to this item: https://doi.org/10.1109/CEC.2007.4425056
Title: Genetic algorithm based route planner for large urban street networks
Authors: Nanayakkara, S.C. 
Srinivasan, D. 
Lup, L.W.
German, X.
Taylor, E.
Ong, S.H. 
Issue Date: 2007
Source: Nanayakkara, S.C.,Srinivasan, D.,Lup, L.W.,German, X.,Taylor, E.,Ong, S.H. (2007). Genetic algorithm based route planner for large urban street networks. 2007 IEEE Congress on Evolutionary Computation, CEC 2007 : 4469-4474. ScholarBank@NUS Repository. https://doi.org/10.1109/CEC.2007.4425056
Abstract: Finding the shortest path from a given source to a given destination is a well known and widely applicable problem. Most of the work done in the area have used static route planning algorithms such as A*, Dijkstra's, BellmanFord algorithm etc. Although these algorithms are said to be optimum, they are not capable of dealing with certain real life scenarios. For example, most of these single objective optimizations fails to find the equally good solutions when there is more than one optimum (shortest distance path, least congested path). We believe that the Genetic Algorithm (GA) based route planning algorithm proposed in this paper has the ability to tackle the above problems. In this paper, the proposed GA based route planning algorithm is successfully tested on the entire Singapore map with more than 10,000 nodes. Performance of the proposed GA is compared with an ant based path planning algorithm. Simulation results demonstrate the effectiveness of the proposed algorithm over ant based algorithm. Moreover, the proposed GA may be used as a basis for developing an intelligent route planning system. © 2007 IEEE.
Source Title: 2007 IEEE Congress on Evolutionary Computation, CEC 2007
URI: http://scholarbank.nus.edu.sg/handle/10635/70424
ISBN: 1424413400
DOI: 10.1109/CEC.2007.4425056
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

7
checked on Dec 13, 2017

Page view(s)

28
checked on Dec 9, 2017

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.