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Authors: Muhammad Usman Arif and Sajjad Haider

Affiliation: Institute of Business Administration, Pakistan

Keyword(s): Multi-Robot Task Allocation, Evolutionary Algorithms, Robot Operating System, Multi-Agent Systems.

Related Ontology Subjects/Areas/Topics: Agents ; Artificial Intelligence ; Artificial Intelligence and Decision Support Systems ; Computational Intelligence ; Distributed and Mobile Software Systems ; Enterprise Information Systems ; Evolutionary Computing ; 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 ; Robot and Multi-Robot Systems ; Simulation and Modeling ; Soft Computing ; Software Engineering ; Symbolic Systems

Abstract: Multi-Robot Task Allocation (MRTA) addresses the problems related to an efficient job assignment in a team of robots. This paper expresses MRTA as a generalization of the Multiple Traveling Salesman Problem (MTSP) and utilizes evolutionary algorithms (EA) for optimal task assignment. The MTSP version of the problem is also solved using combinatorial optimization techniques and results are compared to demonstrate that EA can be effectively used for providing solutions to such problems.

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Paper citation in several formats:
Arif, M. and Haider, S. (2017). An Evolutionary Traveling Salesman Approach for Multi-Robot Task Allocation. In Proceedings of the 9th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART; ISBN 978-989-758-220-2; ISSN 2184-433X, SciTePress, pages 567-574. DOI: 10.5220/0006197305670574

@conference{icaart17,
author={Muhammad Usman Arif. and Sajjad Haider.},
title={An Evolutionary Traveling Salesman Approach for Multi-Robot Task Allocation},
booktitle={Proceedings of the 9th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART},
year={2017},
pages={567-574},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006197305670574},
isbn={978-989-758-220-2},
issn={2184-433X},
}

TY - CONF

JO - Proceedings of the 9th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART
TI - An Evolutionary Traveling Salesman Approach for Multi-Robot Task Allocation
SN - 978-989-758-220-2
IS - 2184-433X
AU - Arif, M.
AU - Haider, S.
PY - 2017
SP - 567
EP - 574
DO - 10.5220/0006197305670574
PB - SciTePress

- Science and Technology Publications, Lda.
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