Lazy Parameter Tuning and Control: Choosing All Parameters Randomly From
a Power-Law Distribution

Lazy Parameter Tuning and Control: Choosing All Parameters Randomly From a Power-Law Distribution

14 April 2021

Denis Antipov

Papers citing "Lazy Parameter Tuning and Control: Choosing All Parameters Randomly From a Power-Law Distribution"

9 / 9 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
Run Time Bounds for Integer-Valued OneMax Functions Jonathan Gadea Harder Timo Kotzing Xiaoyue Li Aishwarya Radhakrishnan 18 2 0 21 Jul 2023
The $(1+(λ,λ))$ Global SEMO Algorithm Benjamin Doerr O. Hadri A. Pinard 32 8 0 07 Oct 2022
A First Runtime Analysis of the NSGA-II on a Multimodal Problem Benjamin Doerr Zhongdi Qu 25 66 0 28 Apr 2022
Approximation Guarantees for the Non-Dominated Sorting Genetic Algorithm II (NSGA-II) Weijie Zheng Benjamin Doerr 21 8 0 05 Mar 2022
Stagnation Detection Meets Fast Mutation Benjamin Doerr A. Rajabi 20 21 0 28 Jan 2022
Lower Bounds from Fitness Levels Made Easy Benjamin Doerr Timo Kotzing 19 20 0 07 Apr 2021
Theoretical Analyses of Multiobjective Evolutionary Algorithms on Multimodal Objectives Weijie Zheng Benjamin Doerr 43 25 0 14 Dec 2020
First Steps Towards a Runtime Analysis When Starting With a Good Solution Denis Antipov M. Buzdalov Benjamin Doerr 19 20 0 22 Jun 2020