30 citations · 65 across the 7 of their papers we have counts for
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cs.NE2022★ 2 cited
Applying Autonomous Hybrid Agent-based Computing to Difficult Optimization Problems
Mateusz Godzik, Jacek Dajda, Marek Kisiel-Dorohinicki +5
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 relev…
cs.NE2022★ 2 cited
Socio-cognitive Optimization of Time-delay Control Problems using Evolutionary Metaheuristics
Piotr Kipinski, Hubert Guzowski, Aleksandra Urbanczyk +8
Metaheuristics are universal optimization algorithms which should be used for solving difficult problems, unsolvable by classic approaches. In this paper we aim at constructing nov…