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An Improved A* Algorithm Based on Hesitant Fuzzy Set Theory for Multi-Criteria Arctic Route Planning.

Authors :
Wang, Yangjun
Zhang, Ren
Qian, Longxia
Source :
Symmetry (20738994). Dec2018, Vol. 10 Issue 12, p765. 1p.
Publication Year :
2018

Abstract

This paper presents a new route planning system for the purpose of evaluating the strategic prospects for future Arctic routes. The route planning problem can be regarded as a multi criteria decision making problem with large uncertainties originating from multi-climate models and experts' knowledge and can be solved by a modified A* algorithm where the hesitant fuzzy set theory is incorporated. Compared to the traditional A* algorithm, the navigability of the Arctic route is firstly analyzed as a measure to determine the obstacle nodes and three key factors to the vessel navigation including sailing time, economic cost and risk are overall considered in the HFS-A* algorithm. A numerical experiment is presented to test the performance of the proposed algorithm. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20738994
Volume :
10
Issue :
12
Database :
Academic Search Index
Journal :
Symmetry (20738994)
Publication Type :
Academic Journal
Accession number :
133689839
Full Text :
https://doi.org/10.3390/sym10120765