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The (1+ $λ$ ) Evolutionary Algorithm with Self-Adjusting Mutation Rate

7 April 2017

Papers citing "The (1+$λ$) Evolutionary Algorithm with Self-Adjusting Mutation Rate"

27 / 27 papers shown

Title
Hardest Monotone Functions for Evolutionary Algorithms Marc Kaufmann Maxime Larcher Johannes Lengler Oliver Sieberling 57 2 0 13 Nov 2023
Analysing the Robustness of NSGA-II under Noise D. Dang Andre Opris B. Salehi Dirk Sudholt 94 24 0 07 Jun 2023
Benchmarking Algorithms for Submodular Optimization Problems Using IOHProfiler Frank Neumann Aneta Neumann Chao Qian Viet Anh Do Jacob De Nobel Diederick Vermetten Saba Sadeghi Ahouei Furong Ye Hongya Wang Thomas Bäck 69 5 0 02 Feb 2023
Crossover Can Guarantee Exponential Speed-Ups in Evolutionary Multi-Objective Optimisation D. Dang Andre Opris Dirk Sudholt 94 17 0 31 Jan 2023
Hard Problems are Easier for Success-based Parameter Control Mario Alejandro Hevia Fajardo Dirk Sudholt 53 6 0 12 Apr 2022
Choosing the Right Algorithm With Hints From Complexity Theory Shouda Wang Weijie Zheng Benjamin Doerr 119 17 0 14 Sep 2021
Blending Dynamic Programming with Monte Carlo Simulation for Bounding the Running Time of Evolutionary Algorithms Kirill Antonov M. Buzdalov Arina Buzdalova Carola Doerr 61 4 0 23 Feb 2021
Leveraging Benchmarking Data for Informed One-Shot Dynamic Algorithm Selection Furong Ye Carola Doerr Thomas Bäck 51 7 0 12 Feb 2021
Stagnation Detection with Randomized Local Search A. Rajabi Carsten Witt 89 30 0 28 Jan 2021
A Survey on Recent Progress in the Theory of Evolutionary Algorithms for Discrete Optimization Benjamin Doerr Frank Neumann 64 34 0 30 Jun 2020
Hybridizing the 1/5-th Success Rule with Q-Learning for Controlling the Mutation Rate of an Evolutionary Algorithm Arina Buzdalova Carola Doerr A. Rodionova 25 3 0 19 Jun 2020
Evolutionary Algorithms with Self-adjusting Asymmetric Mutation A. Rajabi Carsten Witt 91 7 0 16 Jun 2020
Runtime Analysis of a Heavy-Tailed $(1+(λ,λ))$ Genetic Algorithm on Jump Functions Denis Antipov Benjamin Doerr 47 35 0 05 Jun 2020
Self-Adjusting Evolutionary Algorithms for Multimodal Optimization A. Rajabi Carsten Witt 91 63 0 07 Apr 2020
Self-adaptation in non-Elitist Evolutionary Algorithms on Discrete Problems with Unknown Structure B. Case Per Kristian Lehre 35 31 0 01 Apr 2020
Benchmarking Discrete Optimization Heuristics with IOHprofiler Carola Doerr Furong Ye Naama Horesh Hao Wang O. M. Shir Thomas Bäck 91 73 0 19 Dec 2019
Sharp Bounds on the Runtime of the (1+1) EA via Drift Analysis and Analytic Combinatorial Tools Hsien-Kuei Hwang Carsten Witt 66 11 0 21 Jun 2019
Maximizing Drift is Not Optimal for Solving OneMax Nathan Buskulic Carola Doerr 50 23 0 16 Apr 2019
Interpolating Local and Global Search by Controlling the Variance of Standard Bit Mutation Furong Ye Carola Doerr Thomas Bäck 66 24 0 17 Jan 2019
Runtime Analysis for Self-adaptive Mutation Rates Benjamin Doerr Carsten Witt Jing Yang 37 55 0 30 Nov 2018
Significance-based Estimation-of-Distribution Algorithms Benjamin Doerr Martin S. Krejca 70 45 0 10 Jul 2018
Optimal Parameter Choices via Precise Black-Box Analysis Benjamin Doerr Carola Doerr Jing Yang 39 106 0 09 Jul 2018
Theory of Parameter Control for Discrete Black-Box Optimization: Provable Performance Gains Through Dynamic Parameter Choices Benjamin Doerr Carola Doerr 56 75 0 16 Apr 2018
On the Effectiveness of Simple Success-Based Parameter Selection Mechanisms for Two Classical Discrete Black-Box Optimization Benchmark Problems Carola Doerr Markus Wagner 32 15 0 04 Mar 2018
Probabilistic Tools for the Analysis of Randomized Optimization Heuristics Benjamin Doerr 70 173 0 20 Jan 2018
An Elementary Analysis of the Probability That a Binomial Random Variable Exceeds Its Expectation Benjamin Doerr LRM 70 32 0 01 Dec 2017
Fast Genetic Algorithms Benjamin Doerr H. P. Le Régis Makhmara Ta Duy Nguyen 45 205 0 09 Mar 2017

The (1+λλλ) Evolutionary Algorithm with Self-Adjusting Mutation Rate

Papers citing "The (1+$λ$) Evolutionary Algorithm with Self-Adjusting Mutation Rate"

The (1+ $λ$ ) Evolutionary Algorithm with Self-Adjusting Mutation Rate