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Firefly Algorithm Hybridized with Flower Pollination Algorithm for Multimodal Functions

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Proceedings of the International Congress on Information and Communication Technology

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 438))

Abstract

The successful evolutionary characteristics of biological systems have motivated the researchers to use various nature-inspired algorithms to solve various real-world problems that are complex in nature. These algorithms have the capability to find optimum solutions faster than conventional algorithms. The proposed algorithm uses two terms, exploration and exploitation, effectively from Firefly Algorithm (FA) and Flower Pollination Algorithm (FPA). The proposed algorithm (FA/FPA) is validated using various standard benchmark functions and further its comparison is done with FA and FPA. The result evaluation of the proposed algorithm compute better performance than FA and FPA on most of the benchmark functions.

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Author information

Authors and Affiliations

  1. DAV University, Jalandhar, India

    Shifali Kalra &  Sankalap Arora

Authors
  1. Shifali Kalra
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  2. Sankalap Arora
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Corresponding author

Correspondence to Shifali Kalra .

Editor information

Editors and Affiliations

  1. Dept of Comp Sci Engg, Anil Neerukonda Ins Tech & Sci, Visakhapatnam, Andhra Pradesh, India

    Suresh Chandra Satapathy

  2. College of Technology and Engineering, Maharana Pratap Univer. of Agri. & Tech., Udaipur, Rajasthan, India

    Yogesh Chandra Bhatt

  3. Sabar Institute of Technology, Sabarkantha, Gujarat, India

    Amit Joshi

  4. Sri Aurobindo Institute of Technology, Indore, Madhya Pradesh, India

    Durgesh Kumar Mishra

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© 2016 Springer Science+Business Media Singapore

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Shifali Kalra, Sankalap Arora (2016). Firefly Algorithm Hybridized with Flower Pollination Algorithm for Multimodal Functions. In: Satapathy, S., Bhatt, Y., Joshi, A., Mishra, D. (eds) Proceedings of the International Congress on Information and Communication Technology. Advances in Intelligent Systems and Computing, vol 438. Springer, Singapore. https://doi.org/10.1007/978-981-10-0767-5_23

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  • DOI: https://doi.org/10.1007/978-981-10-0767-5_23

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-0766-8

  • Online ISBN: 978-981-10-0767-5

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