Self-adaptation via multi-objectivisation-Reference-Cited by-同舟云学术

Self-adaptation via multi-objectivisation

Published:2022-07-08 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the Genetic and Evolutionary Computation Conference
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Author:

Lehre Per Kristian¹,Qin Xiaoyu¹

Affiliation:

1. University of Birmingham, Birmingham, United Kingdom

Funder

Engineering and Physical Sciences Research Council

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3512290.3528836

Reference28 articles.

1. Random k‐SAT: Two Moments Suffice to Cross a Sharp Threshold

2. Denis Antipov , Benjamin Doerr , and Vitalii Karavaev . 2022. A Rigorous Runtime Analysis of the (1 + (λ, λ)) GA on Jump Functions. Algorithmica (Jan . 2022 ). Denis Antipov, Benjamin Doerr, and Vitalii Karavaev. 2022. A Rigorous Runtime Analysis of the (1 + (λ, λ)) GA on Jump Functions. Algorithmica (Jan. 2022).

3. Generalized jump functions

4. Guy Bresler and Brice Huang . 2021. The Algorithmic Phase Transition of Random k-SAT for Low Degree Polynomials. arXiv:2106.02129 [math-ph, stat] (Oct . 2021 ). arXiv: 2106.02129. Guy Bresler and Brice Huang. 2021. The Algorithmic Phase Transition of Random k-SAT for Low Degree Polynomials. arXiv:2106.02129 [math-ph, stat] (Oct. 2021). arXiv: 2106.02129.

5. Brendan Case and Per Kristian Lehre . 2020. Self-adaptation in non-Elitist Evolutionary Algorithms on Discrete Problems with Unknown Structure . IEEE Transactions on Evolutionary Computation ( 2020 ), 1--1. Brendan Case and Per Kristian Lehre. 2020. Self-adaptation in non-Elitist Evolutionary Algorithms on Discrete Problems with Unknown Structure. IEEE Transactions on Evolutionary Computation (2020), 1--1.

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