Symmetry · 2018 · 26 citations · 53 references
BusinessDecision SciencesTransportation PlanningDecision MakingMulti-criteria Decision MakingOptimizationDecision Under UncertaintyDecision-making Under UncertaintyFuzzy Multi-criteria Decision MakingMulti-criteria Decision AnalysisNavigation PlanningRoute PlanningEconomic Evaluation Of ProspectsFuzzy Multi-criteria Decision AnalysisMulti-criteria Cost ModelingMulti-criteria Group Decision MakingMulti-criteria Route Decision MakingMulti-criteria Route OptimizationNavigation
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.
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A note on two problems in connexion with graphs
E. Dijkstra · Numerische Mathematik · 1959 · 23.8K citations
A Greedy Algorithm for Aligning DNA Sequences
Zheng Zhang, Scott Schwartz, Lukas Wagner et al. · Journal of Computational Biology · 2000 · 5.6K citations