Temat: Multi-agent systems - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Evolutionary multi-agent computing in inverse problems
Autorzy:: Wróbel, K.
Torba, P.
Paszyński, M
Byrski, A.
Powiązania:: https://bibliotekanauki.pl/articles/305816.pdf
Data publikacji:: 2013
Wydawca:: Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
Tematy:: multi-agent systems
evolutionary computation
inverse problems
Opis:: This paper tackles the application of evolutionary multi-agent computing to solve inverse problems. High costs of fitness function call become a major difficulty when approaching these problems with population-based heuristics. However, evolutionary agent-based systems (EMAS) turn out to reduce the fitness function calls, which makes them a possible weapon of choice against them. This paper recalls the basics of EMAS and describes the considered problem (Step and Flash Imprint Lithography), and later, shows convincing results that EMAS is more effective than a classical evolutionary algorithm.
Źródło:: Computer Science; 2013, 14 (3); 367-383
1508-2806
2300-7036
Pojawia się w:: Computer Science
Dostawca treści:: Biblioteka Nauki

Artykuł

Skocz do pozycji: 2.

Tytuł:: Profile-based architecture of evolutionary MAS
Autorzy:: Kisiel-Dorohinicki, M.
Dobrowolski, G.
Nawarecki, E.
Powiązania:: https://bibliotekanauki.pl/articles/1931571.pdf
Data publikacji:: 2003
Wydawca:: Politechnika Gdańska
Tematy:: decentralized artificial intelligence
multi-agent systems
evolutionary computation
Opis:: A sub-type of multi-agent systems (MAS) called evolutionary ones (EMAS), special in its features and field of application, needs a dedicated architecture that would be more adequate and easier in design and implementation. The proposed architecture uses the notion of a profile which models strategies and goals of an agent with respect to an aspect of its operation. To make a decision, an agent is equipped with an algorithm that coordinates premises determined in its profiles. The paper presents main ideas of the architecture illustrated with an actual realisation of an EMAS solving the multi-objective optimisation problem.
Źródło:: TASK Quarterly. Scientific Bulletin of Academic Computer Centre in Gdansk; 2003, 7, 1; 65-72
1428-6394
Pojawia się w:: TASK Quarterly. Scientific Bulletin of Academic Computer Centre in Gdansk
Dostawca treści:: Biblioteka Nauki

Artykuł

Skocz do pozycji: 3.

Tytuł:: Evolutionary multi-agent systems in non-stationary environments
Autorzy:: Kisiel-Dorohinicki, M.
Powiązania:: https://bibliotekanauki.pl/articles/305810.pdf
Data publikacji:: 2013
Wydawca:: Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
Tematy:: multi-agent systems
evolutionary computation
dynamic optimization
non-stationary environment
Opis:: In this article, the performance of an evolutionary multi-agent system in dynamic optimization is evaluated in comparison to classical evolutionary algorithms. The starting point is a general introduction describing the background, structure and behavior of EMAS against classical evolutionary techniques. Then, the properties of energy-based selection are investigated to show how they may influence the diversity of the population in EMAS. The considerations are illustrated by experimental results based on the dynamic version of the well-known, high-dimensional Rastrigin function benchmark.
Źródło:: Computer Science; 2013, 14 (4); 563-575
1508-2806
2300-7036
Pojawia się w:: Computer Science
Dostawca treści:: Biblioteka Nauki

Artykuł

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