Exponential slowdown for larger populations: The (μ + 1)-EA on monotone functions-Reference-Cited by-同舟云学术

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Exponential slowdown for larger populations: The (μ + 1)-EA on monotone functions

Published:2021-07 Issue: Volume:875 Page:28-51
ISSN:0304-3975
Container-title:Theoretical Computer Science
language:en
Short-container-title:Theoretical Computer Science

Author:

Lengler Johannes,Zou Xun

Funder

Swiss National Science Foundation

Publisher

Elsevier BV

Subject

General Computer Science,Theoretical Computer Science

Reference24 articles.

1. Runtime analysis of the (μ+1) EA on simple pseudo-boolean functions;Witt;Evol. Comput.,2006

2. A tight runtime analysis for the (μ+λ) EA;Antipov;Algorithmica,2020

3. Ignoble trails-where crossover is provably harmful;Richter,2008

4. Population size versus runtime of a simple evolutionary algorithm;Witt;Theor. Comput. Sci.,2008

5. Drift analysis and evolutionary algorithms revisited;Lengler;Comb. Probab. Comput.,2018

Cited by 10 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Runtime Analysis of Quality Diversity Algorithms;Algorithmica;2024-08-13

2. Analysing Equilibrium States for Population Diversity;Algorithmica;2024-04-16

3. Hardest Monotone Functions for Evolutionary Algorithms;Lecture Notes in Computer Science;2024

4. Self-adjusting population sizes for the (1,λ)-EA on monotone functions;Theoretical Computer Science;2023-11

5. Two-dimensional drift analysis: Optimizing two functions simultaneously can be hard;Theoretical Computer Science;2023-09

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