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Proceedings of the International Conference on Soft Computing for Problem Solving (SocProS 2011) December 20-22, 2011 pp 23–30Cite as

A New Disc Based Particle Swarm Optimization

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Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 130))

Abstract

Particle swarm optimization (PSO) is preponderantly used to find solution for continuous optimization problems, has the advantage of being cheaper and quicker. This paper introduces a new Disc-based particle swarm optimization (DPSO) algorithm to solve the complex optimization problems. The availability of the introduced algorithms is validated statistically on several benchmark problems and also compared with the existing versions of PSO.

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References

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Authors and Affiliations

  1. Department of Mathematics, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India

    Anupam Yadav & Kusum Deep

Authors
  1. Anupam Yadav
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  2. Kusum Deep
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Corresponding author

Correspondence to Anupam Yadav .

Editor information

Editors and Affiliations

  1. , Department of Mathematics, Indian Institute of Technology Roorkee, Uttarakhand, Roorkee, 247667, India

    Kusum Deep

  2. Department of Mathematics and, Computer Science, Liverpool Hope University, Hope Park, Liverpool, L16 9JD, United Kingdom

    Atulya Nagar

  3. , Department of Paper Technology, Indian Institute of Technology Roorkee, Uttarakhand, Roorkee, 247667, India

    Millie Pant

  4. Information Technology and Management, ABV-Indian Institute of, 109, E- Block, Gwalior, 474010, India

    Jagdish Chand Bansal

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Yadav, A., Deep, K. (2012). A New Disc Based Particle Swarm Optimization. In: Deep, K., Nagar, A., Pant, M., Bansal, J. (eds) Proceedings of the International Conference on Soft Computing for Problem Solving (SocProS 2011) December 20-22, 2011. Advances in Intelligent and Soft Computing, vol 130. Springer, India. https://doi.org/10.1007/978-81-322-0487-9_3

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  • DOI: https://doi.org/10.1007/978-81-322-0487-9_3

  • Published:

  • Publisher Name: Springer, India

  • Print ISBN: 978-81-322-0486-2

  • Online ISBN: 978-81-322-0487-9

  • eBook Packages: EngineeringEngineering (R0)

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