Fast non-elitist evolutionary algorithms with power-law ranking selection-Reference-Cited by-同舟云学术

Fast non-elitist evolutionary algorithms with power-law ranking selection

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

Dang Duc-Cuong¹,Eremeev Anton²,Lehre Per Kristian³,Qin Xiaoyu⁴

Affiliation:

1. University of Passau, Passau, Germany and University of Southampton, Southampton, UK

2. Sobolev Institute of Mathematics SB RAS, Novosibirsk, Russia

3. University of Birmingham, Birmingham, UK and The Alan Turing Institute, London, UK

4. University of Birmingham, Birmingham, UK

Funder

EPSRC grant

IM SB RAS project

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3512290.3528873

Reference26 articles.

1. Lazy parameter tuning and control

2. How to analyse evolutionary algorithms

3. A Comparison of Selection Schemes Used in Evolutionary Algorithms

4. Level-Based Analysis of Genetic Algorithms and Other Search Processes

5. Duc-Cuong Dang Anton Eremeev and Per Kristian Lehre. 2021. Number 14. 12275--12283. Duc-Cuong Dang Anton Eremeev and Per Kristian Lehre. 2021. Number 14. 12275--12283.

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