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Authors: Francesco D'Aleo 1 ; Fabio D'Asaro 1 ; Valerio Perticone 1 ; Giovanni Rizzo 1 and Marco Elio Tabacchi 2

Affiliations: 1 Università degli Studi di Palermo, Italy ; 2 Università degli Studi di Palermo and Ed Istituto Nazionale di Ricerche Demopolis, Italy

Keyword(s): Agent-based Modeling, Optimization.

Related Ontology Subjects/Areas/Topics: Agent Models and Architectures ; Agents ; Artificial Intelligence ; Bioinformatics ; Biomedical Engineering ; Computational Intelligence ; Enterprise Information Systems ; Evolutionary Computing ; Information Systems Analysis and Specification ; Methodologies and Technologies ; Operational Research ; Simulation ; Soft Computing

Abstract: In many different social contexts, communication allows a collective intelligence to emerge. However, a correct way of exchanging information usually requires determined topological configurations of the agents involved in the process. Such a configuration should take into account several parameters, e.g. agents positioning, their proximity and time efficiency of communication. Our aim is to present an algorithm, based on evolutionary programming, which optimizes agents placement on arbitrarily shaped areas. In order to show its ability to deal with arbitrary bi-dimensional topologies, this algorithm has been tested on a set of differently shaped areas that present concavities, convexities and obstacles. This approach can be extended to deal with concrete cases, such as object localization in a delimited area.

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Paper citation in several formats:
D'Aleo, F.; D'Asaro, F.; Perticone, V.; Rizzo, G. and Elio Tabacchi, M. (2015). Agents Displacement in Arbitrary Geometrical Spaces - An Evolutionary Computation based Approach. In Proceedings of the International Conference on Agents and Artificial Intelligence - Volume 2: ICAART; ISBN 978-989-758-073-4; ISSN 2184-433X, SciTePress, pages 198-202. DOI: 10.5220/0005230601980202

@conference{icaart15,
author={Francesco D'Aleo. and Fabio D'Asaro. and Valerio Perticone. and Giovanni Rizzo. and Marco {Elio Tabacchi}.},
title={Agents Displacement in Arbitrary Geometrical Spaces - An Evolutionary Computation based Approach},
booktitle={Proceedings of the International Conference on Agents and Artificial Intelligence - Volume 2: ICAART},
year={2015},
pages={198-202},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005230601980202},
isbn={978-989-758-073-4},
issn={2184-433X},
}

TY - CONF

JO - Proceedings of the International Conference on Agents and Artificial Intelligence - Volume 2: ICAART
TI - Agents Displacement in Arbitrary Geometrical Spaces - An Evolutionary Computation based Approach
SN - 978-989-758-073-4
IS - 2184-433X
AU - D'Aleo, F.
AU - D'Asaro, F.
AU - Perticone, V.
AU - Rizzo, G.
AU - Elio Tabacchi, M.
PY - 2015
SP - 198
EP - 202
DO - 10.5220/0005230601980202
PB - SciTePress