A new exact algorithm for the shortest path problem: An optimized shortest distance matrix. (August 2021)
- Record Type:
- Journal Article
- Title:
- A new exact algorithm for the shortest path problem: An optimized shortest distance matrix. (August 2021)
- Main Title:
- A new exact algorithm for the shortest path problem: An optimized shortest distance matrix
- Authors:
- Yuan, Huilin
Hu, Jianlu
Song, Yufan
Li, Yanke
Du, Jie - Abstract:
- Highlights: A new shortest distance matrix (SDM) algorithm is proposed. The SDM algorithm adopts The Power-plus Operation defined by us. The SDM algorithm can be used to solve the shortest path problem. The SDM can compute vertices independently and process them in parallel. In incomplete graphs, the efficiency of SDM algorithm is greatly improved. Abstract: The growing amount of data generated from the increasingly sophisticated network connections requires greater accuracy and higher efficiency in pinpointing the shortest paths concerned. Therefore, the earlier classical exact algorithms are no longer 100 percent suitable for large-scale data processing, for their known great time complexity during calculation. In this paper, We present an updated shortest distance matrix (SDM) algorithm. Evidence to the operation's properties is provided and the properties are used in subsequent optimizations. Compared with Dijkstra's algorithm and Floyd's algorithm, the optimized SDM algorithm with parallel mode makes a great improvement in shortening the running time. The data test shows that the new algorithm improves the efficiency in processing a large amount of data.
- Is Part Of:
- Computers & industrial engineering. Volume 158(2021)
- Journal:
- Computers & industrial engineering
- Issue:
- Volume 158(2021)
- Issue Display:
- Volume 158, Issue 2021 (2021)
- Year:
- 2021
- Volume:
- 158
- Issue:
- 2021
- Issue Sort Value:
- 2021-0158-2021-0000
- Page Start:
- Page End:
- Publication Date:
- 2021-08
- Subjects:
- Graph theory -- Shortest path -- Multiple pairs -- Algebraic method -- Shortest distance matrix
Engineering -- Data processing -- Periodicals
Industrial engineering -- Periodicals
620.00285 - Journal URLs:
- http://www.sciencedirect.com/science/journal/03608352 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.cie.2021.107407 ↗
- Languages:
- English
- ISSNs:
- 0360-8352
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3394.713000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 17323.xml