Efficient parallel algorithms for search problems: applications in VLSI CAD

Author(s):  
S. Arvindam ◽  
V. Kumar ◽  
V.N. Rao
2015 ◽  
Vol 76 ◽  
pp. 58-65 ◽  
Author(s):  
A. Pietracaprina ◽  
G. Pucci ◽  
F. Silvestri ◽  
F. Vandin

Author(s):  
Jeffrey L. Adler

For a wide range of transportation network path search problems, the A* heuristic significantly reduces both search effort and running time when compared to basic label-setting algorithms. The motivation for this research was to determine if additional savings could be attained by further experimenting with refinements to the A* approach. We propose a best neighbor heuristic improvement to the A* algorithm that yields additional benefits by significantly reducing the search effort on sparse networks. The level of reduction in running time improves as the average outdegree of the network decreases and the number of paths sought increases.


2019 ◽  
Vol 38 (4) ◽  
pp. 817-850 ◽  
Author(s):  
Luisa D'Amore ◽  
Valeria Mele ◽  
Diego Romano ◽  
Giuliano Laccetti

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