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Hybridizing Particle Swarm Optimization with Invasive Weed Optimization for Solving Nonlinear Constrained Optimization Problems

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Proceedings of Fourth International Conference on Soft Computing for Problem Solving

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 336))

Abstract

Most of engineering applications are occurring in the form of nonlinear constrained optimization problems. They have to be solved in point of accuracy and faster convergence. In this paper, the combination of particle swarm optimization (PSO) and invasive weed optimization (IWO) is discussed and the stochastic ranking method is incorporated to handle the constraints, named as a PSO-IWO-SR. Due to page limitation, four well-known nonlinear constrained optimization engineering design problems are adopted to validate the performance of the PSO-IWO-SR. The results obtained by the proposed method PSO-IWO-SR are better than the state-of-the-art evolutionary algorithms with respect to accuracy and computational time.

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Authors and Affiliations

  1. School of Basic Sciences, Indian Institute of Technology, Bhubaneswar, India

    A. K. Ojha & Y. Ramu Naidu

Authors
  1. A. K. Ojha
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  2. Y. Ramu Naidu
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Corresponding author

Correspondence to A. K. Ojha .

Editor information

Editors and Affiliations

  1. Mathematics, National Institute of Technology Silchar, Silchar, Assam, India

    Kedar Nath Das

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

    Kusum Deep

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

    Millie Pant

  4. South Asian University, New Delhi, India

    Jagdish Chand Bansal

  5. Department of Computer Science, Liverpool Hope University, Liverpool, United Kingdom

    Atulya Nagar

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Ojha, A.K., Ramu Naidu, Y. (2015). Hybridizing Particle Swarm Optimization with Invasive Weed Optimization for Solving Nonlinear Constrained Optimization Problems. In: Das, K., Deep, K., Pant, M., Bansal, J., Nagar, A. (eds) Proceedings of Fourth International Conference on Soft Computing for Problem Solving. Advances in Intelligent Systems and Computing, vol 336. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2220-0_49

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  • DOI: https://doi.org/10.1007/978-81-322-2220-0_49

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  • Publisher Name: Springer, New Delhi

  • Print ISBN: 978-81-322-2219-4

  • Online ISBN: 978-81-322-2220-0

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