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Parallel 3-Parent Genetic Algorithm with Application to Routing in Wireless Mesh Networks

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Implementations and Applications of Machine Learning

Part of the book series: Studies in Computational Intelligence ((SCI,volume 782))

Abstract

This chapter proposes a new multi-population global optimization algorithm: the parallel 3-parent genetic algorithm (P3PGA). The performance of the new algorithm was compared with 16 other algorithms based on 30 benchmark functions from the 2014 Congress on Evolutionary Computation test suite. P3PGA was the best-performing algorithm on 14 out of the 30 benchmark functions.

We applied P3PGA to a minimal cost path routing problem in wireless mesh networks. The proposed approach was implemented in MATLAB and simulated for various wireless mesh network sizes and scenarios. We compared its performance on this problem with eight other approaches: Ad hoc On-Demand Distance Vector Routing, Dynamic Source Routing, Genetic Algorithm, Biogeography-Based Optimization, Firefly Algorithm, Ant Colony Optimization, the BAT Algorithm, and Big Bang–Big Crunch algorithm based routing approaches. P3PGA outperformed all other approaches for networks with 1000+ nodes.

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Author information

Authors and Affiliations

  1. Lovely Professional University, Phagwara, Punjab, India

    Amar Singh

  2. Panipat Institute of Engineering & Technology, Panipat, Haryana, India

    Shakti Kumar

  3. Hochschule Wismar, University of Applied Sciences, Technology, Business and Design, Wismar, Germany

    Ajay Singh

  4. IK Gujral Punjab Technical University, Jalandhar, Punjab, India

    Sukhbir S. Walia

Authors
  1. Amar Singh
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  2. Shakti Kumar
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  3. Ajay Singh
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  4. Sukhbir S. Walia
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Editor information

Editors and Affiliations

  1. College of Computer Studies, International University of Africa (IUA), Khartoum, Sudan

    Saad Subair

  2. Department of Science and Mathematics, Texas A&M University-Central Texas, Killeen, TX, USA

    Christopher Thron

Appendix 1: Algorithm Performance Results

Appendix 1: Algorithm Performance Results

Table 6 CEC-2014 Benchmark performance of various algorithms
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Table 6 (continued
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Table 20 Table 6
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Singh, A., Kumar, S., Singh, A., Walia, S.S. (2020). Parallel 3-Parent Genetic Algorithm with Application to Routing in Wireless Mesh Networks. In: Subair, S., Thron, C. (eds) Implementations and Applications of Machine Learning. Studies in Computational Intelligence, vol 782. Springer, Cham. https://doi.org/10.1007/978-3-030-37830-1_1

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  • DOI: https://doi.org/10.1007/978-3-030-37830-1_1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-37829-5

  • Online ISBN: 978-3-030-37830-1

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