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How majority-vote crossover and estimation-of-distribution algorithms cope with fitness valleys

  • Published:2023-01 Issue: Volume:940 Page:18-42
  • ISSN:0304-3975
  • Container-title:Theoretical Computer Science
  • language:en
  • Short-container-title:Theoretical Computer Science

Author:

Witt CarstenORCID

Publisher

Elsevier BV

Subject

General Computer Science,Theoretical Computer Science

Reference47 articles.

1. A Connectionist Machine for Genetic Hillclimbing;Ackley,1987

2. A rigorous runtime analysis of the (1 + (λ, λ)) GA on jump functions;Antipov;Algorithmica,2022

3. A sharp uniform bound for the distribution of sums of Bernoulli trials;Baillon;Comb. Probab. Comput.,2016

4. An extended jump function benchmark for the analysis of randomized search heuristics;Bambury,2021

5. A rigorous runtime analysis of the 2-MMASib on jump functions: ant colony optimizers can cope well with local optima;Benbaki,2021

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1. Runtime Analysis of Coevolutionary Algorithms on a Class of Symmetric Zero-Sum Games;Proceedings of the Genetic and Evolutionary Computation Conference;2024-07-14

2. A Flexible Evolutionary Algorithm with Dynamic Mutation Rate Archive;Proceedings of the Genetic and Evolutionary Computation Conference;2024-07-14

3. Mixed Binomial Distributions for Binary Mutation Operators;Proceedings of the Genetic and Evolutionary Computation Conference;2024-07-14

4. Estimation-of-distribution algorithms for multi-valued decision variables;Theoretical Computer Science;2024-07

5. Fourier Analysis Meets Runtime Analysis: Precise Runtimes on Plateaus;Algorithmica;2024-05-10
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