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

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.
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https://hal.archives-ouvertes.fr/hal-01913676
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Submitted on : Tuesday, November 6, 2018 - 2:40:46 PM
Last modification on : Tuesday, September 22, 2020 - 4:06:14 PM
Long-term archiving on: : Thursday, February 7, 2019 - 2:53:49 PM

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  • HAL Id : hal-01913676, version 1
  • OATAO : 19110

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Sami Mnasri, Nejah Nasri, Adrien van den Bossche, Thierry Val. A hybrid ant-genetic algorithm to solve a real deployment problem: a case study with experimental validation. International Conference on Ad Hoc Networks and Wireless (AdHoc-Now 2017), Sep 2017, Messina, Italy. pp. 367-381. ⟨hal-01913676⟩

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