2 citations · 4 across the 3 of their papers we have counts for
3 papers
Socio-cognitive agent-oriented evolutionary algorithm with trust-based optimization
Aleksandra Urbańczyk, Krzysztof Czech, Piotr Urbańczyk +2
This paper introduces the Trust-Based Optimization (TBO), a novel extension of the island model in evolutionary computation that replaces conventional periodic migrations with a fl…
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…
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…