Self-Adjusting Mutation Rates with Provably Optimal Success Rules

7 February 2019

Papers citing "Self-Adjusting Mutation Rates with Provably Optimal Success Rules"

6 / 6 papers shown

Title
Multi-parameter Control for the (1+( $λ$ , $λ$ ))-GA on OneMax via Deep Reinforcement Learning Tai Nguyen Phong Le Carola Doerr Nguyen Dang 27 0 0 19 May 2025
An information-theoretic evolutionary algorithm A. Berny 14 1 0 12 Apr 2023
OneMax is not the Easiest Function for Fitness Improvements Marc Kaufmann Maxime Larcher Johannes Lengler Xun Zou LRM 20 6 0 14 Apr 2022
Theory-inspired Parameter Control Benchmarks for Dynamic Algorithm Configuration André Biedenkapp Nguyen Dang Martin S. Krejca Frank Hutter Carola Doerr 34 8 0 07 Feb 2022
Stagnation Detection with Randomized Local Search A. Rajabi Carsten Witt 23 30 0 28 Jan 2021
A Survey on Recent Progress in the Theory of Evolutionary Algorithms for Discrete Optimization Benjamin Doerr Frank Neumann 19 31 0 30 Jun 2020