Facing robustness as a multi-objective problem: A bi-objective shortest path problem in smart regions

Autor: Cintrano, C., Chicano, F., Alba, E.

Publikováno v: In Information Sciences November 2019 503:255-273

A new acquisition function for robust Bayesian optimization of unconstrained problems

Autor: Ullah, S., Wang, H., Menzel, S, Sendhoff, B., Bäck, T.H.W., Chicano, F.

Publikováno v: 2021 Genetic and Evolutionary Computation Conference, GECCO 2021
GECCO Companion
Proceedings of the Genetic and Evolutionary Computation Conference Companion
Gecco '21: proceedings of the genetic and evolutionary computation conference companion, 1344-1345. New York: ACM
STARTPAGE=1344;ENDPAGE=1345;TITLE=Gecco '21: proceedings of the genetic and evolutionary computation conference companion

A new acquisition function is proposed for solving robust optimization problems via Bayesian Optimization. The proposed acquisition function reflects the need for the robust instead of the nominal optimum, and is based on the intuition of utilizing t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::09a6a3e603aa55ab2dca3e80d9063605
https://hdl.handle.net/1887/3248671

Expressivity of Parameterized and Data-driven Representations in Quality Diversity Search

Autor: Hagg, A., Berns, S., Asteroth, A., Colton, S., Chicano, F., Krawiec, K., Bäck. T

Publikováno v: GECCO '21: Proceedings of the Genetic and Evolutionary Computation Conference, 678-686. New York, U.S.A.: Association for Computing Machinery
STARTPAGE=678;ENDPAGE=686;TITLE=GECCO '21: Proceedings of the Genetic and Evolutionary Computation Conference
GECCO

We consider multi-solution optimization and generative models for the generation of diverse artifacts and the discovery of novel solutions. In cases where the domain's factors of variation are unknown or too complex to encode manually, generative mod

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::05afcd13e1effaf7d9e89fa74fe34f42

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

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