Randomness in Local Optima Network Sampling

Author:

Thomson Sarah L.1ORCID,Veerapen Nadarajen2ORCID,Ochoa Gabriela1ORCID,van den Berg Daan3ORCID

Affiliation:

1. University of Stirling, Stirling, United Kingdom

2. Univ. Lille, CNRS, Centrale Lille, UMR 9189 CRIStAL, Lille, France

3. VU University Amsterdam, Amsterdam, Netherlands

Publisher

ACM

Reference42 articles.

1. Wojciech Bożejko , Andrzej Gnatowski , Teodor Niżyński , Michael Affenzeller , and Andreas Beham . 2018 . Local optima networks in solving algorithm selection problem for tsp . In International Conference on Dependability and Complex Systems. Springer, 83--93 . Wojciech Bożejko, Andrzej Gnatowski, Teodor Niżyński, Michael Affenzeller, and Andreas Beham. 2018. Local optima networks in solving algorithm selection problem for tsp. In International Conference on Dependability and Complex Systems. Springer, 83--93.

2. Sensitiveness of Evolutionary Algorithms to the Random Number Generator

3. Revisiting the big valley search space structure in the TSP

4. Frank E Harrell Jr , Kerry L Lee , Robert M Califf , David B Pryor , and Robert A Rosati . 1984. Regression modelling strategies for improved prognostic prediction. Statistics in medicine 3, 2 ( 1984 ), 143--152. Frank E Harrell Jr, Kerry L Lee, Robert M Califf, David B Pryor, and Robert A Rosati. 1984. Regression modelling strategies for improved prognostic prediction. Statistics in medicine 3, 2 (1984), 143--152.

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