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Parallel Bacterial Foraging Optimization

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Handbook of Swarm Intelligence

Part of the book series: Adaptation, Learning, and Optimization ((ALO,volume 8))

Abstract

This chapter focuses on concept of new variant of Bacterial Foraging Optimization (BFO) named as Parallel Bacterial Foraging Optimization (PBFO). The key issues on implementation of PBFO in parallel architecture are also addressed. PBFO and its fusions with Particle Swarm Optimization (PSO) and its variants to optimize multimodal functions with high dimensions are discussed. Fusion of PBFO with parameter free Particle Swarm Optimization (pf-PSO) is validated on unimodal and multimodal benchmark functions with high dimensions. The PBFO attains good quality solution as compared to BFO on mutimodal functions.

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Author information

Authors and Affiliations

  1. National Institute of Technical Teachers’ Training and Research, Chandigrah, India

    S. S. Pattnaik, K. M. Bakwad & S. Devi

  2. Indian Institute of Technology, New Delhi, India

    B. K. Panigrahi

  3. Kansas State University, Manhattan, KS, 66506, USA

    Sanjoy Das

Authors
  1. S. S. Pattnaik
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  2. K. M. Bakwad
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  3. S. Devi
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  4. B. K. Panigrahi
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  5. Sanjoy Das
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Editor information

Editors and Affiliations

  1. Electrical Engineering Department, Indian Institute of Technology, Delhi , 110016, New Delhi, India

    Bijaya Ketan Panigrahi

  2. Director of Research and Postgraduate Office, Xi’an Jiaotong-Liverpool University , 215123, Suzhou, China

    Yuhui Shi

  3. School of Electrical & Electronic Engineering, Nanyang Technological University , 639798, Singapore

    Meng-Hiot Lim

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© 2011 Springer-Verlag Berlin Heidelberg

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Pattnaik, S.S., Bakwad, K.M., Devi, S., Panigrahi, B.K., Das, S. (2011). Parallel Bacterial Foraging Optimization. In: Panigrahi, B.K., Shi, Y., Lim, MH. (eds) Handbook of Swarm Intelligence. Adaptation, Learning, and Optimization, vol 8. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17390-5_21

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  • DOI: https://doi.org/10.1007/978-3-642-17390-5_21

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-17389-9

  • Online ISBN: 978-3-642-17390-5

  • eBook Packages: EngineeringEngineering (R0)

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