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Authors: Imen Mejri ; Safa Bhar Layeb and Emna Drira

Affiliation: LR-OASIS, National Engineering, School of Tunis, University of Tunis El Manar, Tunis, Tunisia

Keyword(s): Network Design Problems, Metaheuristics, Bio-inspired Algorithms, Red Dear Algorithm.

Abstract: This work investigates solving a challenging network design problem using the recently introduced evolutionary metaheuristic, namely the Red Deer Algorithm (RDA), that mimics the Scottish Red Deer’s behavior during their breeding season. The RDA is tailored to solve a generalized network design problem that aims to design a network with minimal cost while satisfying several practical constraints. To assess the performance of this new bio-inspired metaheuristic on solving such NP-hard problem, computational experiments were conducted on Benchmark as well as real-world instances. Computational experimentation illustrates the accuracy of the RDA that outperforms all of the existing recent metaheuristics.

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Paper citation in several formats:
Mejri, I.; Layeb, S. and Drira, E. (2021). Tailoring a Red Deer Algorithm to Solve a Generalized Network Design Problem. In Proceedings of the 2nd International Conference on Innovative Intelligent Industrial Production and Logistics - IN4PL; ISBN 978-989-758-535-7, SciTePress, pages 32-39. DOI: 10.5220/0010689000003062

@conference{in4pl21,
author={Imen Mejri. and Safa Bhar Layeb. and Emna Drira.},
title={Tailoring a Red Deer Algorithm to Solve a Generalized Network Design Problem},
booktitle={Proceedings of the 2nd International Conference on Innovative Intelligent Industrial Production and Logistics - IN4PL},
year={2021},
pages={32-39},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010689000003062},
isbn={978-989-758-535-7},
}

TY - CONF

JO - Proceedings of the 2nd International Conference on Innovative Intelligent Industrial Production and Logistics - IN4PL
TI - Tailoring a Red Deer Algorithm to Solve a Generalized Network Design Problem
SN - 978-989-758-535-7
AU - Mejri, I.
AU - Layeb, S.
AU - Drira, E.
PY - 2021
SP - 32
EP - 39
DO - 10.5220/0010689000003062
PB - SciTePress