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DISH solving the GNBG-generated test suite
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| dc.title | DISH solving the GNBG-generated test suite | en |
| dc.contributor.author | Viktorin, Adam | |
| dc.contributor.author | Pluháček, Michal | |
| dc.contributor.author | Kadavý, Tomáš | |
| dc.contributor.author | Kováč, Jozef | |
| dc.contributor.author | Janků, Peter | |
| dc.contributor.author | Šenkeřík, Roman | |
| dc.relation.ispartof | GECCO 2024 Companion - Proceedings of the 2024 Genetic and Evolutionary Computation Conference Companion | |
| dc.identifier.isbn | 979-840070495-6 | |
| dc.date.issued | 2024 | |
| dc.citation.spage | 19 | |
| dc.citation.epage | 20 | |
| dc.event.title | 2024 Genetic and Evolutionary Computation Conference Companion, GECCO 2024 Companion | |
| dc.event.location | Melbourne | |
| utb.event.state-en | Australia | |
| utb.event.state-cs | Austrálie | |
| dc.event.sdate | 2024-07-14 | |
| dc.event.edate | 2024-07-18 | |
| dc.type | conferenceObject | |
| dc.language.iso | en | |
| dc.publisher | Association for Computing Machinery, Inc | |
| dc.identifier.doi | 10.1145/3638530.3664052 | |
| dc.relation.uri | https://dl.acm.org/doi/10.1145/3638530.3664052 | |
| dc.relation.uri | https://dl.acm.org/doi/pdf/10.1145/3638530.3664052 | |
| dc.subject | benchmarking | en |
| dc.subject | evolutionary computation | en |
| dc.description.abstract | This paper presents an extended abstract describing an entry into the benchmarking competition on a new GNBG-generated Test Suite. We are presenting the results of our previously published Distance based parameter adaptation for Success-History based Differential Evolution (DISH) algorithm based on state of the art adaptive differential evolution variants. The key feature of our algorithm is a prolonged exploration due to an updated weighting scheme for control parameter adaptation. The results show that our contestant is able to locate the global optima on 12 out of the 24 test functions. | en |
| utb.faculty | Faculty of Applied Informatics | |
| dc.identifier.uri | http://hdl.handle.net/10563/1012241 | |
| utb.identifier.scopus | 2-s2.0-85201963434 | |
| utb.source | d-scopus | |
| dc.date.accessioned | 2025-01-30T10:36:16Z | |
| dc.date.available | 2025-01-30T10:36:16Z | |
| dc.description.sponsorship | Fakulta aplikované informatiky, Univerzita Tomáše Bati ve Zlíně, FAI; Ministerstwo Edukacji i Nauki, MNiSW; Tomas Bata University in Zlín, TBU, (IGA/CebiaTech/2023/004); Grantová Agentura České Republiky, GAČR, (GF21- 45465L); Narodowe Centrum Nauki, NCN, (2020/39/I/ST7/02285) | |
| utb.contributor.internalauthor | Viktorin, Adam | |
| utb.contributor.internalauthor | Pluháček, Michal | |
| utb.contributor.internalauthor | Kadavý, Tomáš | |
| utb.contributor.internalauthor | Kováč, Jozef | |
| utb.contributor.internalauthor | Janků, Peter | |
| utb.contributor.internalauthor | Šenkeřík, Roman | |
| utb.fulltext.sponsorship | The research presented in this paper was supported by: the Internal Grant Agency of the Tomas Bata University in Zlin - IGA/CebiaTech/2023/004, and resources of A.I.Lab at the Faculty of Applied Informatics, Tomas Bata University in Zlin (ailab.fai.utb.cz). It was also partially supported by Czech Science Foundation (GACR) project no: GF21-45465L and NCN project no: 2020/39/I/ST7/02285, Polish Ministry of Education and Science funds assigned to AGH University of Science and Technology. During the preparation of this work, the authors used OpenAI ChatGPT 4.0 to improve language and readability. After using this tool/service, the authors reviewed and edited the content as needed and took full responsibility for the publication’s content. | |
| utb.scopus.affiliation | Tomas Bata University in Zlín, Zlín, Czech Republic | |
| utb.fulltext.projects | IGA/CebiaTech/2023/004 | |
| utb.fulltext.projects | GF21-45465L | |
| utb.fulltext.projects | 2020/39/I/ST7/02285 |
