Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Tomasz Kulpa"'
Publikováno v:
Sensors, Vol 23, Iss 8, p 3930 (2023)
We propose an approach to self-optimizing wireless sensor networks (WSNs) which are able to find, in a fully distributed way, a solution to a coverage and lifetime optimization problem. The proposed approach is based on three components: (a) a multi-
Externí odkaz:
https://doaj.org/article/9739958daacf4819991862ef76682172
Autor:
Tomasz Kulpa
Publikováno v:
International Journal of Mathematics and Mathematical Sciences, Vol 22, Iss 2, Pp 259-269 (1999)
New sufficient conditions for strong approximation of copulas, generated by sequences of partitions of unity, are given. Results are applied to the checkerboard and Bernstein approximations.
Externí odkaz:
https://doaj.org/article/5db7437f267c4f84a85e609fb2eb6432
Publikováno v:
Proceedings of the Genetic and Evolutionary Computation Conference Companion.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::73a67b1e6378d2c6a28429ac030a92e9
https://doi.org/10.1145/3520304.3529042
https://doi.org/10.1145/3520304.3529042
Publikováno v:
Journal of Computational Science. 68:101994
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7aafdc114d49675813f633f1c7bf0ce1
https://doi.org/10.1016/j.jocs.2023.101994
https://doi.org/10.1016/j.jocs.2023.101994
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031149252
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5c4345a243b6b18e02cc65a3bf163dc1
https://doi.org/10.1007/978-3-031-14926-9_19
https://doi.org/10.1007/978-3-031-14926-9_19
Publikováno v:
Computational Science – ICCS 2022 ISBN: 9783031087530
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::61da58862ce92600d293f9e47085ab56
https://doi.org/10.1007/978-3-031-08754-7_65
https://doi.org/10.1007/978-3-031-08754-7_65
Publikováno v:
GECCO
Particle Swarm Optimization (PSO) is a heuristic optimization technique where particles explore optima of the fitness landscape defined in the search space. It is a practical approach but vulnerable to incorrect particle movement parameter tuning. Th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::119f374ebaf2ded222ab9120ca6374fb
https://doi.org/10.1145/3449639.3459405
https://doi.org/10.1145/3449639.3459405
Publikováno v:
CEC
In the Particle Swarm Optimization (PSO) method, the behavior of particles depends on movement parameters. Effective application of the PSO method in real-world problems requires stable behavior of particles in the swarm. In the stochastic particle s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e17e3bb690d332f21333895e52548a18
https://doi.org/10.1109/cec48606.2020.9185567
https://doi.org/10.1109/cec48606.2020.9185567
Publikováno v:
Artificial Intelligence and Soft Computing ISBN: 9783030614003
ICAISC (1)
ICAISC (1)
In Particle Swarm Optimization, the behavior of particles depends on the parameters of movement formulas. In our research, we identify types of particles based on their movement trajectories. Then, we propose new rules of particle classification base
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e4fb41ddc7fef47a39aeb05bf7d49f95
https://doi.org/10.1007/978-3-030-61401-0_53
https://doi.org/10.1007/978-3-030-61401-0_53
Autor:
Tomasz Kulpa, Krzysztof Trojanowski
Publikováno v:
Studies in Computational Intelligence ISBN: 9783030164683
IJCCI (Selected Papers)
IJCCI (Selected Papers)
Stability properties of a particle in the stochastic models of PSO are a subject of presented analysis. Measures of a number of particle steps necessary to reach an equilibrium state, particularly, generalized weak versions of measures: particle conv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5b572baa43d6c97d0e4232b66830c959
https://doi.org/10.1007/978-3-030-16469-0_1
https://doi.org/10.1007/978-3-030-16469-0_1