Jan 27, 2015 · Abstract:The fusion of the multi-agent paradigm with evolutionary computation yielded promising results in many optimization problems.
Agents are fully asynchronous and autonomous in fulfilling their goals, such as exchanging resources with others, reproducing or being removed from the system.
Evolutionary multi-agent system (EMAS) are more similar to biological evolution than classical evolutionary algorithms. However, technological limitations ...
A new formal description of the execution model for agent‐based computing systems in the form of an adaptive dataflow decoupled from the domain‐specific ...
Evolutionary multi-agent system (EMAS) are more similar to biological evolution than classical evolutionary algorithms. However, technological limitations ...
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Aug 12, 2015 · Massively-concurrent Agent-based. Evolutionary Computing. D. Krzywickia, W. Tureka, A. Byrskia,∗, M. Kisiel-Dorohinickia. aAGH University of ...
The fusion of the multi-agent paradigm with evolutionary computation yielded promising results in many optimization problems. Evolutionary multi-agent ...
Co-authors ; Massively concurrent agent-based evolutionary computing. D Krzywicki, W Turek, A Byrski, M Kisiel-Dorohinicki. Journal of Computational Science 11, ...
Massively concurrent agent-based evolutionary computing. D Krzywicki, W Turek, A Byrski, M Kisiel-Dorohinicki. Journal of Computational Science 11, 153-162, ...
Sep 2, 2018 · This paper introduces a new formal description of the execution model for agent-based computing systems in the form of an adaptive dataflow ...