Using structural bias to analyse the behaviour of modular CMA-ES

Autor: Vermetten, D.L., Caraffini, F., Stein, B. van, Kononova, A.V., Fieldsend, J.E.

Publikováno v: GECCO '22: Proceedings of the genetic and evolutionary computation conference companion, 1674-1682. Boston: ACM
STARTPAGE=1674;ENDPAGE=1682;TITLE=GECCO '22: Proceedings of the genetic and evolutionary computation conference companion

The Covariance Matrix Adaptation Evolution Strategy (CMA-ES) is a commonly used iterative optimisation heuristic for optimising black-box functions. CMA-ES comes in many flavours with different configuration settings. In this work, we investigate whe

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::74a3df11cd511d7d7a9bb50398d37193
https://doi.org/10.1145/3520304.3534035

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Analysis of structural bias in Differential Evolution configurations

Autor: Vermetten, D.L., Stein, B. van, Kononova, A.V., Caraffini, F., Kumar, B.V., Oliva, D., Suganthan, P.N

Publikováno v: Studies in Computational Intelligence, 1-22. Singapore: Springer
STARTPAGE=1;ENDPAGE=22;TITLE=Studies in Computational Intelligence
Studies in Computational Intelligence ISBN: 9789811680816

Differential Evolution is a popular optimisation method with a small number of parameters. However, different hyper-parameters and Differential Evolution variants such as different mutation operators and the F and Cr parameter may introduce structura

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c42429d91104da44ffd7730d7e3256f5
https://doi.org/10.1007/978-981-16-8082-3_1

Emergence of Structural Bias in Differential Evolution

Autor: Stein, B. van, Caraffini, F., Kononova, A.V., Chicano, F.

Publikováno v: GECCO Companion
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 1234-1242. ACM
STARTPAGE=1234;ENDPAGE=1242;TITLE=Proceedings of the Genetic and Evolutionary Computation Conference Companion

The file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link. Heuristic optimisation algorithms are in high demand due to the overwhelming amount of complex optimis

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::312179bca0a50c6ae494c4fad915c332

Can Single Solution Optimisation Methods Be Structurally Biased?

Autor: Kononova, A.V., Caraffini, F., Wang, H., Bäck, T.H.W.

Publikováno v: Preprints

This paper investigates whether optimisation methods with the population made up of one solution can suffer from structural bias just like their multisolution variants. Following recent results highlighting the importance of choice of strategy for ha

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::cd86d66cac333a91caa5d615a34d6c54
https://hdl.handle.net/1887/85808