Mooney, Peter and Winstanley, Adam C. (2006) An evolutionary algorithm for multicriteria path optimization problems. International Journal of Geographical Information Science, 20 (4). pp. 401-423. ISSN 1365-8816

Preview

Download (554kB) | Preview

Abstract

For many years researchers and decision makers (DMs) faced with multicriteria shortest path problems (MSPPs) have resorted to reductions to the classical shortest path problem (SPP) by means of weighted linear combinations of the criteria. Algorithmic and approximation schemes are available to solve MSPPs but these approaches often display complexities prohibitive to their implementation on real‐world applications. This paper describes the development of an Evolutionary Algorithm (EA) approach to MSPPs on networks with multiple independent criteria. The EA approach is shown to sufficiently explore the underlying network space, generate large candidate path sets, and evolve high quality approximations to the optimal MSPP solution(s). Opportunities for early termination of the EA in time‐critical applications are also offered. Among the issues for further work is the integration of the EA as a tool within a GIS for path optimization.

Item Type:	Article
Keywords:	evolutionary algorithm; multicriteria path optimization problems;
Academic Unit:	Faculty of Science and Engineering > Computer Science
Item ID:	8072
Identification Number:	https://doi.org/10.1080/13658810600607766
Depositing User:	Dr. Adam Winstanley
Date Deposited:	27 Mar 2017 11:26
Journal or Publication Title:	International Journal of Geographical Information Science
Publisher:	Taylor & Francis
Refereed:	Yes
URI:	http://www.tandfonline.com
Use Licence:	This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

Repository Staff Only(login required)

Item control page

Downloads

Origin of downloads