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Progress in Computing, Analytics and Networking pp 775–783Cite as

Crow Search Optimization-Based Hybrid Meta-heuristic for Classification: A Novel Approach

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 710))

Abstract

This paper proposed a novel crow search optimization-based hybrid approach to solve classification problem of data mining. Being a recently developed population-based algorithm, crow search algorithm (CSA) has been strived the attention of all range researchers to solve wide range of complex engineering and optimization problems. In this paper, CSA is used with functional link neural network to solve classification problem. The results of the proposed method have been compared with other swarm-based approaches, and the experimental results reveal that the proposed method is superior to others.

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Acknowledgements

This work is supported by Technical Education Quality Improvement Programme, National Project Implementation Unit (A unit of MHRD, Govt. of India, for implementation of World Bank assisted projects in technical education), under the research project grant (VSSUT/TEQIP/37/2016).

Author information

Authors and Affiliations

  1. Department of Computer Application, Veer Surendra Sai University of Technology, Burla, Sambalpur, 768018, Odisha, India

    Bighnaraj Naik

  2. Department of Computer Science and Engineering, Sri Sivani College of Engineering, Srikakulam, 532410, Andhra Pradesh, India

    Janmenjoy Nayak

Authors
  1. Bighnaraj Naik
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  2. Janmenjoy Nayak
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Corresponding author

Correspondence to Janmenjoy Nayak .

Editor information

Editors and Affiliations

  1. School of Computer Engineering, KIIT University, Bhubaneswar, Odisha, India

    Prasant Kumar Pattnaik

  2. School of Computer Engineering, KIIT University, Bhubaneswar, Odisha, India

    Siddharth Swarup Rautaray

  3. School of Computer Engineering, KIIT University, Bhubaneswar, Odisha, India

    Himansu Das

  4. Department of Computer Science and Engineering, Sri Sivani College of Engineering, Srikakulam, Andhra Pradesh, India

    Janmenjoy Nayak

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Naik, B., Nayak, J. (2018). Crow Search Optimization-Based Hybrid Meta-heuristic for Classification: A Novel Approach. In: Pattnaik, P., Rautaray, S., Das, H., Nayak, J. (eds) Progress in Computing, Analytics and Networking. Advances in Intelligent Systems and Computing, vol 710. Springer, Singapore. https://doi.org/10.1007/978-981-10-7871-2_74

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  • DOI: https://doi.org/10.1007/978-981-10-7871-2_74

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-7870-5

  • Online ISBN: 978-981-10-7871-2

  • eBook Packages: EngineeringEngineering (R0)

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