Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Mateusz Godzik"'
Autor:
Leszek Siwik, Dawid Kala, Mateusz Godzik, Wojciech Turek, Aleksander Byrski, Marek Kisiel-Dorohinick
Publikováno v:
Journal of Telecommunications and Information Technology, Iss 4 (2017)
Mobile Computing and Mobile Cloud Computing are the areas where intensive research is observed. The “mobility” landscape (devices, technologies, apps, etc.) evolves so fast that definitions and taxonomies do not catch up with so dynamic changes
Externí odkaz:
https://doaj.org/article/845062d8fb9c43729ca0926ff27cd6fd
Autor:
Mateusz Godzik, Jacek Dajda, Marek Kisiel-Dorohinicki, Aleksander Byrski, Leszek Rutkowski, Patryk Orzechowski, Joost Wagenaar, Jason H. Moore
Publikováno v:
Journal of Computational Science. 64:101858
Evolutionary multi-agent systems (EMASs) are very good at dealing with difficult, multi-dimensional problems, their efficacy was proven theoretically based on analysis of the relevant Markov-Chain based model. Now the research continues on introducin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::de4c5f025259313c2b2a0b8deb64b8d8
https://doi.org/10.1016/j.jocs.2022.101858
https://doi.org/10.1016/j.jocs.2022.101858
Autor:
Mateusz Godzik
Publikováno v:
Computer Science. 22
Evolutionary multi-agent systems (EMAS) are very good at dealing with difficult, multi-dimensional problems. Currently, research is underway to improve this algorithm, giving even more freedom to agents not only in solving the problem but also in mak
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4e3492d7a596b297b849a4007f8989e1
https://doi.org/10.7494/csci.2021.22.3.4259
https://doi.org/10.7494/csci.2021.22.3.4259
Publikováno v:
Computational Collective Intelligence ISBN: 9783030630065
ICCCI
ICCCI
Using agent-based systems for computing purposes, where agent becomes not only driver for realizing computing task, but a part of the computing itself is an interesting paradigm allowing for easy yet robust design of metaheuristics, making possible e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8134c4ec619a11af0c24c256b8336ee2
https://doi.org/10.1007/978-3-030-63007-2_11
https://doi.org/10.1007/978-3-030-63007-2_11
Autor:
Wojciech Turek, Aleksander Byrski, Leszek Siwik, Dawid Kala, Marek Kisiel-Dorohinicki, Mateusz Godzik
Publikováno v:
Journal of Telecommunications and Information Technology. 4:60-70
Mobile Computing and Mobile Cloud Computing are the areas where intensive research is observed. The “mobility” landscape (devices, technologies, apps, etc.) evolves so fast that definitions and taxonomies do not catch up with so dynamic changes
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::59207727f7848bd84dfdaac465199a0c
https://doi.org/10.26636/jtit.2017.111817
https://doi.org/10.26636/jtit.2017.111817
Autor:
Mateusz Godzik, Wojciech Turek, Aleksander Byrski, Kamil Piętak, Marek Kisiel-Dorohinicki, Pawel Chorazyk
Publikováno v:
ICCS
Volunteer computing is a very appealing way of utilizing vast available resources in an efficient way. However currently available platforms supporting this computing style are either difficult to use or not available at all, being the results of e.g
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::da79473e7d3b13a378a4548638eada67
https://doi.org/10.1016/j.procs.2017.05.091
https://doi.org/10.1016/j.procs.2017.05.091
Autor:
Jakub Piekarz, Aleksander Byrski, Bartlomiej Grochal, Mikolaj Sieniawski, Marek Kisiel-Dorohinicki, Mateusz Godzik
Publikováno v:
Intelligent Information and Database Systems ISBN: 9783030148010
ACIIDS (2)
ACIIDS (2)
Evolutionary multi-agent systems (EMAS) turned out to be quite efficient technique for solving complex problems, both benchmark ones (as well-known multi-dimensional functions, e.g. Rastrigin, Schwefel etc) and more practical ones (like Optimal Golom
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d43d05385ede716c91ccc00538cc381a
https://doi.org/10.1007/978-3-030-14802-7_20
https://doi.org/10.1007/978-3-030-14802-7_20
Autor:
Marcin Sendera, Adam Szlachta, Aleksander Byrski, Mateusz Paciorek, Marek Kisiel-Dorohinicki, Leszek Placzkiewicz, Mateusz Godzik
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319937007
ICCS (2)
ICCS (2)
In this paper a novel hybridization of agent-based evolutionary system (EMAS, a metaheuristic putting together agency and evolutionary paradigms) is presented. This method assumes utilization of particle swarm optimization (PSO) for upgrading certain
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::378964ac1cd59e89d63eba8af127e5c9
https://doi.org/10.1007/978-3-319-93701-4_7
https://doi.org/10.1007/978-3-319-93701-4_7