- Tytuł:
- Energy redistribution in autonomous hybridization of agent-based computing
- Autorzy:
- Godzik, Mateusz
- Powiązania:
- https://bibliotekanauki.pl/articles/2097959.pdf
- Data publikacji:
- 2021
- Wydawca:
- Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
- Tematy:
-
agent-based computing
hybrid metaheuristics
nature-inspired algorithms - Opis:
- Evolutionary multi-agent systems (EMAS) are very good at dealing with diffi cult, multi-dimensional problems. Research is currently underway to improve this algorithm, giving agents even more freedom not only to solve the problem, but also to make decisions about the behavior of the algorithm. One way is to hybridize this algorithm with other existing algorithms to create the Hybrid Evolutionary Multi Agent-System (HEMAS). Unfortunately, such connections generate problems in the form of unbalanced agent energy levels. One solution is to use an agent energy redistribution operator. The article presents three different proposals for such redistribution operators, compared them with each other and selected the best based on the results of numerous experiments.
- Źródło:
-
Computer Science; 2021, 22 (3); 345-365
1508-2806
2300-7036 - Pojawia się w:
- Computer Science
- Dostawca treści:
- Biblioteka Nauki
Artykuł