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A hybrid ant-genetic algorithm to solve a real deployment problem: a case study with experimental validation

Mnasri, Sami and Nasri, Nejah and Van den Bossche, Adrien and Val, Thierry A hybrid ant-genetic algorithm to solve a real deployment problem: a case study with experimental validation. (2017) In: International Conference on Ad Hoc Networks and Wireless (AdHoc-Now 2017), 20 September 2017 - 22 September 2017 (Messina, Italy).

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Official URL: https://doi.org/10.1007/978-3-319-67910-5_30

Abstract

In this paper, we investigate the problem of deploying 3D nodes in a wireless sensor network. The aim is to choose the ideal 3D locations to add new nodes to an initial configuration of nodes, while optimizing a set of objectives. In this regard, our study proposes a new hybrid algorithm which stems from the ant foraging behavior and the genetics. It is based on a recent variant of the genetic algorithms (NSGA-III) and the Ant Colony Optimization algorithm. The obtained numerical results and the simulations compared with experiments prove the effectiveness of the proposed approach.

Item Type:Conference or Workshop Item (Paper)
Additional Information:Thanks to Springer editor. This papers appears in Volume 10517 of Lecture Notes in Computer Science ISSN : 0302-9743 ISBN: 978-3-319-67909-9 The original PDF is available at: https://link.springer.com/chapter/10.1007/978-3-319-67910-5_30
HAL Id:hal-01913676
Audience (conference):International conference proceedings
Uncontrolled Keywords:
Institution:French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Institut National Polytechnique de Toulouse - INPT (FRANCE)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UPS (FRANCE)
Université de Toulouse > Université Toulouse - Jean Jaurès - UT2J (FRANCE)
Université de Toulouse > Université Toulouse 1 Capitole - UT1 (FRANCE)
Other partners > Université de Sfax (TUNISIA)
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Deposited By: IRIT IRIT
Deposited On:01 Oct 2018 14:24

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