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Optimal parameter choices via precise black-box analysis

  • Published:2020-01 Issue: Volume:801 Page:1-34
  • ISSN:0304-3975
  • Container-title:Theoretical Computer Science
  • language:en
  • Short-container-title:Theoretical Computer Science

Author:

Doerr Benjamin,Doerr Carola,Yang Jing

Funder

Agence Nationale de la Recherche

Publisher

Elsevier BV

Subject

General Computer Science,Theoretical Computer Science

Reference52 articles.

1. Upper and lower bounds for randomized search heuristics in black-box optimization;Droste;Theory Comput. Syst.,2006

2. From black-box complexity to designing new genetic algorithms;Doerr;Theor. Comput. Sci.,2015

3. Revised analysis of the (1+1) EA for the minimum spanning tree problem;Witt,2014

4. Computing single source shortest paths using single-objective fitness functions;Baswana,2009

5. Lower bounds for the runtime of a global multi-objective evolutionary algorithm;Doerr,2013

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2. Hot of the Press: Crossover Can Guarantee Exponential Speed-Ups in Evolutionary Multi-Objective Optimisation;Proceedings of the Genetic and Evolutionary Computation Conference Companion;2024-07-14

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5. First Steps Towards a Runtime Analysis When Starting With a Good Solution;ACM Transactions on Evolutionary Learning and Optimization;2024-07
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