Agent-Based Computational Systems
The scope of our work encompasses the development of novel computational methods – particularly metaheuristics that are inspired by natural and social phenomena (e.g., evolutionary and agent-based systems as well as their hybrids). These newly created methods are compared in terms of their effectiveness and efficiency with reference methods. In addition to algorithm design, a significant emphasis is placed on creating dedicated computational platforms that enable the efficient utilization of available heterogeneous or homogeneous hardware infrastructures. Very often, research is conducted by using resources that are provided by ACK Cyfronet AGH.
Keywords: evolutionary systems, agent-based systems, algorithm design, computational platforms
Key publications related to research area:
Byrski A., Kisiel-Dorohinicki M., Evolutionary Multi-Agent Systems : from inspirations to applications, Springer International Publishing AG 2017, vol. 680, s. 197–210.
Byrski A., Dreżewski R., Siwik L., Kisiel-Dorohinicki M., Evolutionary multi-agent systems, The Knowledge Engineering Review, 2015 vol. 30, s. 171–186.
Dreżewski R., Siwik L., A review of agent-based co-evolutionary algorithms for multi-objective optimization, Springer-Verlag 2010, vol. 7, s. 177–209.
Dreżewski R., Obrocki K., Siwik L., Agent-based co-operative co-evolutionary algorithms for multi-objective portfolio optimization, Springer-Verlag 2010, vol. 293, s. 63-84.
Korczyński W., Byrski A., Kisiel-Dorohinicki M., Buffered local search for efficient memetic agent-based continuous optimization, Journal of Computational Science 2017, vol. 20, s. 112–117.
Krzywicki D., Faber Ł., Byrski A., Kisiel-Dorohinicki M., Computing agents for decision support systems, Future Generation Computer Systems, 2014 vol. 37, s. 390–400.
dr hab. inż. Marek Kisiel-Dorohinicki, prof. AGH BPP AGH
dr hab. inż. Rafał Dreżewski, prof. AGH BPP AGH
dr inż. Leszek Siwik BPP AGH
prof. dr hab. inż. Aleksander Byrski BPP AGH
Research Team: IISG