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Industrial Mathematics and Complex Systems pp 249–257Cite as

Novel Solution of Nonlinear Equations Using Genetic Algorithm

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Part of the book series: Industrial and Applied Mathematics ((INAMA))

Abstract

Nonlinear equations represent highly complex systems and their solutions by conventional methods have high computational complexity. Methods like Bisection, Regula Falsi, Newton–Raphson, Secant, Muller, etc., are used to solve such problems. This work find gaps in the existing methods and justifies the applicability of Genetic Algorithm to the problem. A Genetic Algorithm-based method has been proposed, which is more efficient and produces better results as compared to the existing methods.

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Author information

Authors and Affiliations

  1. Department of Applied Sciences and Humanities, Jamia Millia Islamia, New Delhi, 110025, India

    Chhavi Mangla & Musheer Ahmad

  2. Department of Computer Science, Jamia Hamdard, New Delhi, India

    Harsh Bhasin & Moin Uddin

Authors
  1. Chhavi Mangla
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  2. Harsh Bhasin
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  3. Musheer Ahmad
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  4. Moin Uddin
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Corresponding author

Correspondence to Chhavi Mangla .

Editor information

Editors and Affiliations

  1. Department of Mathematics, Guru Nanak Dev University, Amritsar, Punjab, India

    Pammy Manchanda

  2. CNRS, Dieudonné Center of Mathematics, University Côte d’Azur, Nice, France

    René Lozi

  3. School of Basic Sciences and Research, Sharda University, Greater Noida, Uttar Pradesh, India

    Abul Hasan Siddiqi

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Mangla, C., Bhasin, H., Ahmad, M., Uddin, M. (2017). Novel Solution of Nonlinear Equations Using Genetic Algorithm. In: Manchanda, P., Lozi, R., Siddiqi, A. (eds) Industrial Mathematics and Complex Systems. Industrial and Applied Mathematics. Springer, Singapore. https://doi.org/10.1007/978-981-10-3758-0_17

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