Adaptive sample size and importance sampling in estimation-based local search for the probabilistic traveling salesman problem-Reference-Cited by-同舟云学术

Adaptive sample size and importance sampling in estimation-based local search for the probabilistic traveling salesman problem

Published:2009-11 Issue:1 Volume:199 Page:98-110
ISSN:0377-2217
Container-title:European Journal of Operational Research
language:en
Short-container-title:European Journal of Operational Research

Author:

Balaprakash Prasanna,Birattari Mauro,Stützle Thomas,Dorigo Marco

Publisher

Elsevier BV

Subject

Information Systems and Management,Management Science and Operations Research,Modeling and Simulation,General Computer Science,Industrial and Manufacturing Engineering

Reference28 articles.

1. Simulated annealing for discrete optimization with estimation;Alkhamis;European Journal of Operational Research,1999

2. Improvement strategies for the F-Race algorithm: Sampling design and iterative refinement;Balaprakash,2007

3. Balaprakash, P., Birattari, M., Stützle, T., Dorigo, M., 2007b. Adaptive sample size and importance sampling in estimation-based local search for the probabilistic traveling salesman problem: A complete analysis. Technical Report TR/IRIDIA/2007-015, IRIDIA, Université Libre de Bruxelles, Brussels, Belgium. .

4. Balaprakash, P., Birattari, M., Stützle, T., Dorigo, M., 2008. Extended empirical analysis of adaptive sample size and importance sampling in estimation-based local search for the probabilistic traveling salesman problem. IRIDIA Supplementary Page. .

5. Fast algorithms for geometric traveling salesman problems;Bentley;ORSA Journal on Computing,1992

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