The $$(1+1)$$ ( 1 + 1 ) Elitist Black-Box Complexity of LeadingOnes-Reference-Cited by-同舟云学术

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The $$(1+1)$$ ( 1 + 1 ) Elitist Black-Box Complexity of LeadingOnes

Published:2017-03-21 Issue:5 Volume:80 Page:1579-1603
ISSN:0178-4617
Container-title:Algorithmica
language:en
Short-container-title:Algorithmica

Author:

Doerr Carola,Lengler Johannes^ORCID

Funder

FMJH Program Gaspard Monge in optimization and operation research, supported by Electricité de France

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Computer Science Applications,General Computer Science

Link

http://link.springer.com/article/10.1007/s00453-017-0304-6/fulltext.html

Reference19 articles.

1. Lecture Notes in Computer Science;P Afshani,2013

2. Böttcher, S., Doerr, B., Neumann, F.: Optimal fixed and adaptive mutation rates for the LeadingOnes problem. In: Proceedings of the 11th International Conference on Parallel Problem Solving from Nature (PPSN’10), pp. 1–10. Springer (2010)

3. Doerr, B., Doerr, C., Ebel, F.: Lessons from the black-box: Fast crossover-based genetic algorithms. In: Proceedings of Genetic and Evolutionary Computation Conference (GECCO’13), pp. 781–788. ACM (2013)

4. Doerr, B., Johannsen, D., Kötzing, T., Lehre, P.K., Wagner, M., Winzen, C.: Faster black-box algorithms through higher arity operators. In: Proceedings of Foundations of Genetic Algorithms (FOGA’11), pp. 163–172. ACM (2011)

5. Lecture Notes in Computer Science;B Doerr,2012

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2. Theory-inspired parameter control benchmarks for dynamic algorithm configuration;Proceedings of the Genetic and Evolutionary Computation Conference;2022-07-08

3. Towards Fixed-Target Black-Box Complexity Analysis;Lecture Notes in Computer Science;2022

4. Parallel Black-Box Complexity With Tail Bounds;IEEE Transactions on Evolutionary Computation;2020-12

5. Simple Hyper-Heuristics Control the Neighbourhood Size of Randomised Local Search Optimally for LeadingOnes;Evolutionary Computation;2020-09

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