Publicación:
FP-AK-QIEA-R seed to help the convergence of PECO
FP-AK-QIEA-R seed to help the convergence of PECO
| dc.contributor.author | Chire Saire J.E. | es_PE |
| dc.date.accessioned | 2024-05-30T23:13:38Z | |
| dc.date.available | 2024-05-30T23:13:38Z | |
| dc.date.issued | 2018 | |
| dc.description | The author would like to thank Cesar M.V. Benítes of Bioinformatic Lab in UTFPR(Universidade Tecnologica Federal do Parana), Brasil.The author would like to thank CONCYTEC (Consejo Nacional de Ciencia, Tecnolog´ıa e Innovacion Tecnológica), by the financial supporting during Master Program. | |
| dc.description.abstract | FP-AK-QIEA-ℝ has been used in Benchmark Functions, Protein Folding Problem and multi-objective problems. PECO was a proposed algorithm with good performance in Protein Folding Problem. The objective of this paper is perform experiments to improve the performance of PECO using FP-AK-QIEA-ℝ to initialize PECO. After plotting the best of ever, a meaningful change on the convergence is observed showing the modification of the convergence and after plotting the number of habitats is noticed a reduction of the number of habitats. In conclusion, adding FP-AK-QIEA-R solution improves the performance of PECO. | |
| dc.description.sponsorship | Consejo Nacional de Ciencia, Tecnología e Innovación Tecnológica - Concytec | |
| dc.identifier.doi | https://doi.org/10.1109/INTERCON.2018.8526410 | |
| dc.identifier.isbn | 9781538654903 | |
| dc.identifier.scopus | 2-s2.0-85058024752 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12390/562 | |
| dc.language.iso | eng | |
| dc.publisher | Institute of Electrical and Electronics Engineers Inc. | |
| dc.relation.ispartof | Proceedings of the 2018 IEEE 25th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2018 | |
| dc.rights | info:eu-repo/semantics/openAccess | |
| dc.subject | Quantum inspired evolutionary algorithm | |
| dc.subject | Ecosystems | es_PE |
| dc.subject | Protein folding | es_PE |
| dc.subject | Proteins | es_PE |
| dc.subject | Benchmark functions | es_PE |
| dc.subject | Multi-objective problem | es_PE |
| dc.subject | Particle filter | es_PE |
| dc.subject | PDF estimation | es_PE |
| dc.subject | PECO | es_PE |
| dc.subject | Protein folding problem | es_PE |
| dc.subject | Evolutionary algorithms | es_PE |
| dc.subject.ocde | https://purl.org/pe-repo/ocde/ford#2.02.00 | |
| dc.title | FP-AK-QIEA-R seed to help the convergence of PECO | |
| dc.type | info:eu-repo/semantics/conferenceObject | |
| dspace.entity.type | Publication | |
| oairecerif.author.affiliation | #PLACEHOLDER_PARENT_METADATA_VALUE# | |
| oairecerif.author.affiliation | #PLACEHOLDER_PARENT_METADATA_VALUE# | |
| oairecerif.author.affiliation | #PLACEHOLDER_PARENT_METADATA_VALUE# | |
| oairecerif.author.affiliation | #PLACEHOLDER_PARENT_METADATA_VALUE# |