Examining algorithm behavior using recurrence quantification and landscape analyses

Author:

Muñoz Mario Andrés1

Affiliation:

1. School of Computer and Information Systems, Parkville, VIC, Australia

Funder

Australian Research Council

Publisher

ACM

Reference22 articles.

1. T. Bartz-Beielstein , C. Doerr , D. van den Berg , J. Bossek , S. Chandrasekaran , T. Eftimov , A. Fischbach , P. Kerschke , W. La Cava , M. Lopez-Ibanez , K.M. Malan , J.H. Moore , B. Naujoks , P. Orzechowski , V. Volz , M. Wagner , and T. Weise . 2020 . Benchmarking in Optimization: Best Practice and Open Issues. arXiv:2007.03488 [cs.NE] T. Bartz-Beielstein, C. Doerr, D. van den Berg, J. Bossek, S. Chandrasekaran, T. Eftimov, A. Fischbach, P. Kerschke, W. La Cava, M. Lopez-Ibanez, K.M. Malan, J.H. Moore, B. Naujoks, P. Orzechowski, V. Volz, M. Wagner, and T. Weise. 2020. Benchmarking in Optimization: Best Practice and Open Issues. arXiv:2007.03488 [cs.NE]

2. Per instance algorithm configuration of CMA-ES with limited budget

3. A parallel global multiobjective framework for optimization: pagmo

4. Grey Wolf, Firefly and Bat Algorithms: Three Widespread Algorithms that Do Not Contain Any Novelty

5. Recurrence Plots of Dynamical Systems

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