Zobrazeno 1 - 10
of 54
pro vyhledávání: '"Leoneed Kirilov"'
Publikováno v:
Proceedings of the Bulgarian Academy of Sciences. 75:1796-1804
Mesta River is a transboundary river. It flows from Bulgaria, through Greece to the Aegean Sea. In Bulgaria, it is located in West Aegean region. Mesta River is important because it is rich in water resources. In this papera base model for water bala
Publikováno v:
Recent Contributions to Bioinformatics and Biomedical Sciences and Engineering ISBN: 9783031310683
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::62f7640c1a5f120cb53614dfe1346e03
https://doi.org/10.1007/978-3-031-31069-0_28
https://doi.org/10.1007/978-3-031-31069-0_28
Autor:
Leoneed Kirilov, Yasen Mitev
Publikováno v:
Recent Advances in Computational Optimization ISBN: 9783031068386
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ece527e9553e60baf70b9b806737157c
https://doi.org/10.1007/978-3-031-06839-3_5
https://doi.org/10.1007/978-3-031-06839-3_5
On the Problem of Bimetallic Nanostructures Optimization: An Extended Two-Stage Monte Carlo Approach
Autor:
Rossen Mikhov, Vladimir Myasnichenko, Leoneed Kirilov, Nickolay Sdobnyakov, Pavel Matrenin, Denis Sokolov, Stefka Fidanova
Publikováno v:
Recent Advances in Computational Optimization ISBN: 9783030823962
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fbbb7d644659bed87cf1517371eb023d
https://doi.org/10.1007/978-3-030-82397-9_12
https://doi.org/10.1007/978-3-030-82397-9_12
Autor:
Vladimir Myasnichenko, Rossen Mikhov, Leoneed Kirilov, Nickolay Sdobnykov, Denis Sokolov, Stefka Fidanova
Publikováno v:
Recent Advances in Computational Optimization ISBN: 9783030823962
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::05b7f6d17dc6781e68d0b3128dff5bf4
https://doi.org/10.1007/978-3-030-82397-9_11
https://doi.org/10.1007/978-3-030-82397-9_11
Autor:
Leoneed Kirilov, Pavel Matrenin, Rossen Mikhov, Vladimir Myasnichenko, Nikolay Yu. Sdobnyakov, D. N. Sokolov, Stefka Fidanova
In recent years, hybrid approaches on population-based algorithms are more often applied in industrial settings. In this paper, we present the approach of a combination of universal, problem-free Swarm Intelligence (SI) algorithms with simple determi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e923104361c10dd39c2e2e8afa7ced64
https://hdl.handle.net/20.500.12641/35526
https://hdl.handle.net/20.500.12641/35526
Autor:
Yasen R. Mitev, Leoneed Kirilov
Publikováno v:
FedCSIS
The e-mail service takes significant part at the corporate collaboration due to its natural benefits like: unification, traceability and the ease of use. To ensure that such a fundamental service is functioning and being maintained right, proper meth
Publikováno v:
CompSysTech
The rapid development of IoT has enabled the mass use of smart devices. This in turn allowed the creation of the concept of smart homes and its implementation in people's lives. In this paper a complex smart home environment design is presented. It a
Publikováno v:
Advanced Computing in Industrial Mathematics ISBN: 9783030716158
An approach for Engineering Robust Design Problems based on multi-objective optimization in the solution phase is presented in this paper. The task for optimizing conflicting parameters arises very often when solving design problems. Therefore includ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::96a2c4ba3c5167cb5bb8f5999acc52e6
https://doi.org/10.1007/978-3-030-71616-5_19
https://doi.org/10.1007/978-3-030-71616-5_19
Publikováno v:
Advanced Computing in Industrial Mathematics ISBN: 9783030716158
The description of the mechanisms of formation and dynamics of changes in the internal structure of nanoparticles can allow predicting the properties of these nanoparticles. Despite the modern development of the experimental base and theoretical appr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e400c03e45729eb25399aaa514e6b2b1
https://doi.org/10.1007/978-3-030-71616-5_25
https://doi.org/10.1007/978-3-030-71616-5_25