Solving Dynamic Traveling Salesman Problem Using Dynamic Gaussian Process Regression
Joint Authors
Adebiyi, Ayodele Ariyo
Adewumi, Aderemi Oluyinka
Akandwanaho, Stephen M.
Source
Journal of Applied Mathematics
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-04-07
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
This paper solves the dynamic traveling salesman problem (DTSP) using dynamic Gaussian Process Regression (DGPR) method.
The problem of varying correlation tour is alleviated by the nonstationary covariance function interleaved with DGPR to generate a predictive distribution for DTSP tour.
This approach is conjoined with Nearest Neighbor (NN) method and the iterated local search to track dynamic optima.
Experimental results were obtained on DTSP instances.
The comparisons were performed with Genetic Algorithm and Simulated Annealing.
The proposed approach demonstrates superiority in finding good traveling salesman problem (TSP) tour and less computational time in nonstationary conditions.
American Psychological Association (APA)
Akandwanaho, Stephen M.& Adewumi, Aderemi Oluyinka& Adebiyi, Ayodele Ariyo. 2014. Solving Dynamic Traveling Salesman Problem Using Dynamic Gaussian Process Regression. Journal of Applied Mathematics،Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-500581
Modern Language Association (MLA)
Akandwanaho, Stephen M.…[et al.]. Solving Dynamic Traveling Salesman Problem Using Dynamic Gaussian Process Regression. Journal of Applied Mathematics No. 2014 (2014), pp.1-10.
https://search.emarefa.net/detail/BIM-500581
American Medical Association (AMA)
Akandwanaho, Stephen M.& Adewumi, Aderemi Oluyinka& Adebiyi, Ayodele Ariyo. Solving Dynamic Traveling Salesman Problem Using Dynamic Gaussian Process Regression. Journal of Applied Mathematics. 2014. Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-500581
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-500581