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Browsing by Subject "agent-based computing"

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    Item type:Article, Access status: Open Access ,
    Energy redistribution in autonomous hybridization of agent-based computing
    (Wydawnictwa AGH, 2021) Godzik, Mateusz
    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.
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    Item type:Article, Access status: Open Access ,
    Parallel patterns for agent-based evolutionary computing
    (Wydawnictwa AGH, 2016) Stypka, Jan; Anielski, Piotr; Mentel, Szymon; Krzywicki, Daniel; Turek, Wojciech; Byrski, Aleksander; Kisiel-Dorohinicki, Marek
    Computing applications such as metaheuristics-based optimization can greatly benefit from multi-core architectures available on modern supercomputers. In this paper, we describe an easy and efficient way to implement certain population-based algorithms (in the discussed case, multi-agent computing system) on such runtime environments. Our solution is based on an Erlang software library which implements dedicated parallel patterns. We provide technological details on our approach and discuss experimental results.
  • thumbnail.journal.alt
    Item type:Article, Access status: Open Access ,
    Tuning of agent-based computing
    (Wydawnictwa AGH, 2013) Byrski, Aleksander
    In this paper, an Evolutionary Multi-agent system-based computing process is subjected to a detailed analysis of its parameters in order to establish a base for a better understanding of the meta-heuristics from the practitioner’s point of view. After reviewing the concepts of EMAS and its immunological variant, a series of experiments is shown, and results of the influence of the search outcomes by certain parameters is discussed.