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Authors: Tamás Kalmár-Nagy 1 and Giovanni Giardini 2

Affiliations: 1 Texas A&M University, United States ; 2 Gemelli S.p.A., Italy

Keyword(s): Multiple traveling salesman problem, Genetic algorithm.

Related Ontology Subjects/Areas/Topics: Agents ; Artificial Intelligence ; Artificial Intelligence and Decision Support Systems ; Distributed and Mobile Software Systems ; Enterprise Information Systems ; Formal Methods ; Informatics in Control, Automation and Robotics ; Intelligent Control Systems and Optimization ; Knowledge Engineering and Ontology Development ; Knowledge-Based Systems ; Multi-Agent Systems ; Planning and Scheduling ; Simulation and Modeling ; Software Engineering ; Symbolic Systems

Abstract: The purpose of this paper is to present a Multi-Agent planner for a team of autonomous agents. The approach is demonstrated by the Multi-Agent Planning Problem, which is a variant of the classical Multiple Traveling Salesmen Problem (MTSP): given a set of n goals/targets and a team of m agents, the optimal team strategy consists of finding m tours such that each target is visited only once and by only one agent, and the total cost of visiting all nodes is minimal. The proposed solution method is a Genetic Algorithm Inspired Steepest Descent (GAISD) method. To validate the approach, the method has been benchmarked against MTSPs and routing problems. Numerical experiments demonstrate the goodness of the approach.

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Paper citation in several formats:
Kalmár-Nagy, T. and Giardini, G. (2011). THE MULTI-AGENT PLANNING PROBLEM. In Proceedings of the 3rd International Conference on Agents and Artificial Intelligence - Volume 2: ICAART; ISBN 978-989-8425-40-9; ISSN 2184-433X, SciTePress, pages 296-305. DOI: 10.5220/0003177502960305

@conference{icaart11,
author={Tamás Kalmár{-}Nagy. and Giovanni Giardini.},
title={THE MULTI-AGENT PLANNING PROBLEM},
booktitle={Proceedings of the 3rd International Conference on Agents and Artificial Intelligence - Volume 2: ICAART},
year={2011},
pages={296-305},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003177502960305},
isbn={978-989-8425-40-9},
issn={2184-433X},
}

TY - CONF

JO - Proceedings of the 3rd International Conference on Agents and Artificial Intelligence - Volume 2: ICAART
TI - THE MULTI-AGENT PLANNING PROBLEM
SN - 978-989-8425-40-9
IS - 2184-433X
AU - Kalmár-Nagy, T.
AU - Giardini, G.
PY - 2011
SP - 296
EP - 305
DO - 10.5220/0003177502960305
PB - SciTePress

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