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Reseach Article

Comparative Study for Trends of Solving Single Source Shortest Path Problems

by Nilanshi Nigam, Vivek Bhushan Tiwari, Abdul Muttalib Khan
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 138 - Number 5
Year of Publication: 2016
Authors: Nilanshi Nigam, Vivek Bhushan Tiwari, Abdul Muttalib Khan
10.5120/ijca2016908832

Nilanshi Nigam, Vivek Bhushan Tiwari, Abdul Muttalib Khan . Comparative Study for Trends of Solving Single Source Shortest Path Problems. International Journal of Computer Applications. 138, 5 ( March 2016), 31-35. DOI=10.5120/ijca2016908832

@article{ 10.5120/ijca2016908832,
author = { Nilanshi Nigam, Vivek Bhushan Tiwari, Abdul Muttalib Khan },
title = { Comparative Study for Trends of Solving Single Source Shortest Path Problems },
journal = { International Journal of Computer Applications },
issue_date = { March 2016 },
volume = { 138 },
number = { 5 },
month = { March },
year = { 2016 },
issn = { 0975-8887 },
pages = { 31-35 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume138/number5/24377-2016908832/ },
doi = { 10.5120/ijca2016908832 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:38:52.561133+05:30
%A Nilanshi Nigam
%A Vivek Bhushan Tiwari
%A Abdul Muttalib Khan
%T Comparative Study for Trends of Solving Single Source Shortest Path Problems
%J International Journal of Computer Applications
%@ 0975-8887
%V 138
%N 5
%P 31-35
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

As the name suggests, Single source shortest path is a technique to find the shortest path corresponding to a source vertex. Single source can be implemented using greedy and dynamic approach. There are many approaches proposed for the same. The idea is to minimize the complexity of the algorithm. This paper presents a review of different algorithm proposed for this technique and compares the complexity and efficiency of each approach . It analyzes each algorithm and takes into account the different parameters involved and hence provide an overview of it. It helps us to know various advantages proposed by different algorithm.

References
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  2. Pritam Roy, "A New Memetic Algorithm with GA Crossover Technique to solve Single Source Shortest Path (SSSP) problem".
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  8. JinFu Leng and Wen Zeng, "An Improved Shortest Path Algorithm for Computing One-to-one Shortest Paths On Road Networks".
  9. R. Iris Bahar, Gary D. Hachtel, Enrico Macii, Abelardo Pardo, Massimo Poncino and Fabio Somenzi. "An ADD-Based Algorithm for Shortest Path Back-Tracing of Large Graph".
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Index Terms

Computer Science
Information Sciences

Keywords

Single Source Shortest Path(SSSP) Li-Qi(LQ) SIMD(Simple Instruction Multiple Data) SPFA(Shortest Path Faster Algorithm) Algebraic Decision Diagram(ADD).