Self-adjusting Population Sizes for the $(1, λ)$ -EA on Monotone Functions

1 April 2022

Papers citing "Self-adjusting Population Sizes for the $(1, λ)$-EA on Monotone Functions"

8 / 8 papers shown

Title
EvoPress: Towards Optimal Dynamic Model Compression via Evolutionary Search Oliver Sieberling Denis Kuznedelev Eldar Kurtic Dan Alistarh MQ 26 5 0 18 Oct 2024
Self-Adjusting Evolutionary Algorithms Are Slow on Multimodal Landscapes Johannes Lengler Konstantin Sturm 16 0 0 18 Apr 2024
Hardest Monotone Functions for Evolutionary Algorithms Marc Kaufmann Maxime Larcher Johannes Lengler Oliver Sieberling 25 2 0 13 Nov 2023
Runtime Analysis of Quality Diversity Algorithms Jakob Bossek Dirk Sudholt 27 3 0 30 May 2023
Comma Selection Outperforms Plus Selection on OneMax with Randomly Planted Optima J. Jorritsma Johannes Lengler Dirk Sudholt 18 14 0 19 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
Two-Dimensional Drift Analysis: Optimizing Two Functions Simultaneously Can Be Hard D. Janett Johannes Lengler 16 2 0 28 Mar 2022
Self-Adjusting Population Sizes for Non-Elitist Evolutionary Algorithms: Why Success Rates Matter Mario Alejandro Hevia Fajardo Dirk Sudholt 10 18 0 12 Apr 2021