Effective mutation rate adaptation through group elite selection

Author:

Kumar Akarsh1,Liu Bo1,Miikkulainen Risto1,Stone Peter2

Affiliation:

1. The University of Texas at Austin

2. The University of Texas at Austin and Sony AI

Publisher

ACM

Reference39 articles.

1. A Systematic Literature Review of Adaptive Parameter Control Methods for Evolutionary Algorithms;Aleti Aldeida;ACM Comput. Surv.,2016

2. Thomas Bäck . 1992 . Self-Adaptation in Genetic Algorithms . In Proceedings of the First European Conference on Artificial Life. Citeseer. Thomas Bäck. 1992. Self-Adaptation in Genetic Algorithms. In Proceedings of the First European Conference on Artificial Life. Citeseer.

3. Thomas Bäck and Martin Schütz . 1996. Intelligent mutation rate control in canonical genetic algorithms . In Foundations of Intelligent Systems . Springer Berlin Heidelberg , 158--167. Thomas Bäck and Martin Schütz. 1996. Intelligent mutation rate control in canonical genetic algorithms. In Foundations of Intelligent Systems. Springer Berlin Heidelberg, 158--167.

4. Süntje Böttcher , Benjamin Doerr , and Frank Neumann . 2010. Optimal Fixed and Adaptive Mutation Rates for the LeadingOnes Problem . In Parallel Problem Solving from Nature , PPSN XI. Springer Berlin Heidelberg , 1--10. Süntje Böttcher, Benjamin Doerr, and Frank Neumann. 2010. Optimal Fixed and Adaptive Mutation Rates for the LeadingOnes Problem. In Parallel Problem Solving from Nature, PPSN XI. Springer Berlin Heidelberg, 1--10.

5. Greg Brockman Vicki Cheung Ludwig Pettersson Jonas Schneider John Schulman Jie Tang and Wojciech Zaremba. 2016. OpenAI Gym. (June 2016). arXiv:1606.01540 [cs.LG] Greg Brockman Vicki Cheung Ludwig Pettersson Jonas Schneider John Schulman Jie Tang and Wojciech Zaremba. 2016. OpenAI Gym. (June 2016). arXiv:1606.01540 [cs.LG]

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