Lower Bounds from Fitness Levels Made Easy

7 April 2021

Papers citing "Lower Bounds from Fitness Levels Made Easy"

9 / 9 papers shown

Title
Fast Estimations of Hitting Time of Elitist Evolutionary Algorithms from Fitness Levels Jun He Siang Yew Chong Xin Yao 23 0 0 17 Nov 2023
Drift Analysis with Fitness Levels for Elitist Evolutionary Algorithms Jun He Yuren Zhou 14 2 0 02 Sep 2023
Analysis of the (1+1) EA on LeadingOnes with Constraints Tobias Friedrich Timo Kotzing Aneta Neumann Frank Neumann Aishwarya Radhakrishnan 13 1 0 29 May 2023
Fourier Analysis Meets Runtime Analysis: Precise Runtimes on Plateaus Benjamin Doerr A. J. Kelley 16 5 0 16 Feb 2023
Runtime Analysis for Permutation-based Evolutionary Algorithms Benjamin Doerr Yassine Ghannane Marouane Ibn Brahim 21 3 0 05 Jul 2022
An Extended Jump Functions Benchmark for the Analysis of Randomized Search Heuristics Henry Bambury Antoine Bultel Benjamin Doerr 11 11 0 07 May 2021
Self-Adjusting Population Sizes for Non-Elitist Evolutionary Algorithms: Why Success Rates Matter Mario Alejandro Hevia Fajardo Dirk Sudholt 8 18 0 12 Apr 2021
Fast Mutation in Crossover-based Algorithms Denis Antipov M. Buzdalov Benjamin Doerr 23 36 0 14 Apr 2020
Self-Adjusting Mutation Rates with Provably Optimal Success Rules Benjamin Doerr Carola Doerr Johannes Lengler 14 51 0 07 Feb 2019