Evolutionary Algorithms with Self-adjusting Asymmetric Mutation

16 June 2020

Papers citing "Evolutionary Algorithms with Self-adjusting Asymmetric Mutation"

9 / 9 papers shown

Title
Self-Adjusting Evolutionary Algorithms for Multimodal Optimization A. Rajabi Carsten Witt 75 63 0 07 Apr 2020
Offspring Population Size Matters when Comparing Evolutionary Algorithms with Self-Adjusting Mutation Rates A. Rodionova Kirill Antonov Arina Buzdalova Carola Doerr 19 13 0 17 Apr 2019
Runtime Analysis for Self-adaptive Mutation Rates Benjamin Doerr Carsten Witt Jing Yang 21 55 0 30 Nov 2018
Towards a Theory-Guided Benchmarking Suite for Discrete Black-Box Optimization Heuristics: Profiling $(1+λ)$ EA Variants on OneMax and LeadingOnes Carola Doerr Furong Ye Sander van Rijn Hao Wang Thomas Bäck 20 22 0 17 Aug 2018
Theory of Parameter Control for Discrete Black-Box Optimization: Provable Performance Gains Through Dynamic Parameter Choices Benjamin Doerr Carola Doerr 19 76 0 16 Apr 2018
Probabilistic Tools for the Analysis of Randomized Optimization Heuristics Benjamin Doerr 25 172 0 20 Jan 2018
Complexity Theory for Discrete Black-Box Optimization Heuristics Carola Doerr 18 28 0 06 Jan 2018
Drift Analysis Johannes Lengler 25 16 0 04 Dec 2017
The (1+ $λ$ ) Evolutionary Algorithm with Self-Adjusting Mutation Rate Benjamin Doerr C. Gießen Carsten Witt Jing Yang 24 74 0 07 Apr 2017