Performance Analysis and Comparison on Heterogeneous and Homogeneous Multi-Agent Societies in Correlation to Their Average Capabilities

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@InProceedings{Georgiev:2018:SICE,

• author = "Milen Georgiev and Ivan Tanev and Katsunori Shimohara",
• title = "Performance Analysis and Comparison on Heterogeneous and Homogeneous Multi-Agent Societies in Correlation to Their Average Capabilities",
• booktitle = "2018 57th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE)",
• year = "2018",
• pages = "674--679",
• month = "11-14 " # sep,
• address = "Nara, Japan",
• keywords = "genetic algorithms, genetic programming, multi-agent systems, predator-prey pursuit problem, evolutionary programming, heterogeneous and homogeneous system performance comparison and analysis",
• isbn13 = "978-1-5386-6644-9",
• DOI = "doi:10.23919/SICE.2018.8492713",
• size = "6 pages",
• abstract = "The purpose of this research is to investigate the performance of heterogeneous multi-agent systems of agents in comparison to morphologically identical homogeneous systems, pertaining the same average physical and sensory abilities for the system as a whole. We will be using a form of the well-known predator-prey pursuit problem to measure the efficiency of each of the systems in both speed of evolution of the exhibited behaviour and robustness of the programmatically generated solutions.",
• notes = "Also known as \cite{8492713}",

}

Genetic Programming entries for Milen Svetoslavov Georgiev Ivan T Tanev Katsunori Shimohara

Citations