Self-Adjusting Evolutionary Algorithms for Multimodal Optimization

7 April 2020

Papers citing "Self-Adjusting Evolutionary Algorithms for Multimodal Optimization"

12 / 12 papers shown

Title
Hyper-Heuristics Can Profit From Global Variation Operators Benjamin Doerr J. Lutzeyer 23 1 0 19 Jul 2024
Runtime Analysis of the SMS-EMOA for Many-Objective Optimization Weijie Zheng Benjamin Doerr 30 18 0 16 Dec 2023
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
The $(1+(λ,λ))$ Global SEMO Algorithm Benjamin Doerr O. Hadri A. Pinard 32 8 0 07 Oct 2022
Runtime Analysis for the NSGA-II: Provable Speed-Ups From Crossover Benjamin Doerr Zhongdi Qu 18 43 0 18 Aug 2022
A First Runtime Analysis of the NSGA-II on a Multimodal Problem Benjamin Doerr Zhongdi Qu 19 66 0 28 Apr 2022
Stagnation Detection Meets Fast Mutation Benjamin Doerr A. Rajabi 12 21 0 28 Jan 2022
Lower Bounds from Fitness Levels Made Easy Benjamin Doerr Timo Kotzing 11 20 0 07 Apr 2021
Stagnation Detection with Randomized Local Search A. Rajabi Carsten Witt 18 30 0 28 Jan 2021
Theoretical Analyses of Multiobjective Evolutionary Algorithms on Multimodal Objectives Weijie Zheng Benjamin Doerr 43 25 0 14 Dec 2020
A Survey on Recent Progress in the Theory of Evolutionary Algorithms for Discrete Optimization Benjamin Doerr Frank Neumann 19 31 0 30 Jun 2020
Evolutionary Algorithms with Self-adjusting Asymmetric Mutation A. Rajabi Carsten Witt 16 7 0 16 Jun 2020