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Engineering Optimization Using SOMGA

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Proceedings of the Second International Conference on Soft Computing for Problem Solving (SocProS 2012), December 28-30, 2012

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 236))

Abstract

Many real-life problems arising in science, business, engineering, etc. can be modeled as nonlinear constrained optimization problems. To solve these problems, population-based stochastic search methods have been frequently used in literature. In this paper, a population-based constraint-handling technique C-SOMGA is used to solve six engineering optimization problems. To show the efficiency of this algorithm, the results are compared with the previously quoted results.

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Authors and Affiliations

  1. Indian Institute of Technology, Roorkee, India

    Kusum Deep

  2. Gautam Buddha University, Greatar Noida, India

    Dipti Singh

Authors
  1. Kusum Deep
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  2. Dipti Singh
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Corresponding author

Correspondence to Kusum Deep .

Editor information

Editors and Affiliations

  1. Institute of Engineering and Technology, JK Lakshmipat University, Jaipur, Rajasthan, India

    B. V. Babu

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

    Atulya Nagar

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

    Kusum Deep

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

    Millie Pant

  5. Department of Applied Mathematics, South Asian University, New Delhi, India

    Jagdish Chand Bansal

  6. Institute of Engineering and Technology, JK Lakshmipat University, Jaipur, Rajasthan, India

    Kanad Ray

  7. Institute of Engineering and Technology, JK Lakshmipat University, Jaipur, Rajasthan, India

    Umesh Gupta

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Deep, K., Singh, D. (2014). Engineering Optimization Using SOMGA. In: Babu, B., et al. Proceedings of the Second International Conference on Soft Computing for Problem Solving (SocProS 2012), December 28-30, 2012. Advances in Intelligent Systems and Computing, vol 236. Springer, New Delhi. https://doi.org/10.1007/978-81-322-1602-5_36

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  • DOI: https://doi.org/10.1007/978-81-322-1602-5_36

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  • Publisher Name: Springer, New Delhi

  • Print ISBN: 978-81-322-1601-8

  • Online ISBN: 978-81-322-1602-5

  • eBook Packages: EngineeringEngineering (R0)

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