Solving Dynamic Traveling Salesman Problem Using Dynamic Gaussian Process Regression

Solving Dynamic Traveling Salesman Problem Using Dynamic Gaussian Process Regression

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 appr...

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Bibliographic Details
Main Authors: Stephen M. Akandwanaho, Aderemi O. Adewumi, Ayodele A. Adebiyi
Format: Article
Language:English
Published: Wiley 2014-01-01
Series:Journal of Applied Mathematics
Online Access:http://dx.doi.org/10.1155/2014/818529
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