Theory-inspired parameter control benchmarks for dynamic algorithm configuration

Author:

Biedenkapp André1,Dang Nguyen2,Krejca Martin S.3,Hutter Frank4,Doerr Carola3

Affiliation:

1. University of Freiburg, Freiburg, Germany

2. University of St Andrews, St Andrews, United Kingdom

3. Sorbonne Université, Paris, France

4. University of Freiburg, Germany

Funder

DIM RFSI AlgoSelect

TAILOR

Marie Sklodowska-Curie Actions

Horizon 2020 Framework Programme

Publisher

ACM

Reference65 articles.

1. The query complexity of a permutation-based variant of Mastermind

2. Aldeida Aleti and Irene Moser . 2016. A Systematic Literature Review of Adaptive Parameter Control Methods for Evolutionary Algorithms. Comput. Surveys 49 ( 2016 ), 56:1--56:35. Aldeida Aleti and Irene Moser. 2016. A Systematic Literature Review of Adaptive Parameter Control Methods for Evolutionary Algorithms. Comput. Surveys 49 (2016), 56:1--56:35.

3. An Overview of Parameter Control Methods by Self-Adaptation in Evolutionary Algorithms

4. Roberto Battiti , Mauro Brunato , and Franco Mascia . 2008. Reactive search and intelligent optimization . Vol. 45 . Springer Science & Business Media . Roberto Battiti, Mauro Brunato, and Franco Mascia. 2008. Reactive search and intelligent optimization. Vol. 45. Springer Science & Business Media.

5. Roberto Battiti and Paolo Campigotto . 2012. An Investigation of Reinforcement Learning for Reactive Search Optimization . In Autonomous Search, Y. Hamadi, E. Monfroy, and F. Saubion (Eds.). Springer , 131--160. Roberto Battiti and Paolo Campigotto. 2012. An Investigation of Reinforcement Learning for Reactive Search Optimization. In Autonomous Search, Y. Hamadi, E. Monfroy, and F. Saubion (Eds.). Springer, 131--160.

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Accelerate Evolution Strategy by Proximal Policy Optimization;Proceedings of the Genetic and Evolutionary Computation Conference;2024-07-14

2. Using Automated Algorithm Configuration for Parameter Control;Proceedings of the 17th ACM/SIGEVO Conference on Foundations of Genetic Algorithms;2023-08-30

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