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

被引:23
|
作者
Wang, Yangjun [1 ]
Zhang, Ren [1 ]
Qian, Longxia [2 ]
机构
[1] Natl Univ Def Technol, Coll Meteorol & Oceanog, Nanjing 211101, Jiangsu, Peoples R China
[2] Jiangsu Maritime Inst, Inst Nav, Nanjing 211170, Jiangsu, Peoples R China
来源
SYMMETRY-BASEL | 2018年 / 10卷 / 12期
基金
中国国家自然科学基金;
关键词
hesitant fuzzy sets; multi criteria decision making; A* algorithm; route optimization; navigability; RISK ANALYSIS; ICE; NAVIGATION; OPTIMIZATION; AGGREGATION; SIMULATIONS; VARIABILITY; FRAMEWORK; CMIP5;
D O I
10.3390/sym10120765
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
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.
引用
收藏
页数:20
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