Hybridization of Neural Nets and Genetic Algorithms to Compute the Boundary Control for Controlled Heat Equation

Authors

  • Nutan Kumar Tomar Indian Institute of Technology Patna
  • N Sukavanam IIT Roorkee
  • K P Singh Indian Institute of Information Technology Allahabad

Keywords:

Control system governed by heat equation, artificial neural networks, genetic algorithms

Abstract

This paper presents a computational method for boundary control of controlled heat equation. The proposed method relies upon the function approximation
capability of feedforward neural network and global optimization
power of genetic algorithm.

Author Biographies

  • Nutan Kumar Tomar, Indian Institute of Technology Patna
    Assistant Professor Department of Mathematics Indian Institute of Technology Patna
  • N Sukavanam, IIT Roorkee
    Associate Professor, Department of Mathematics, IIT Roorkee
  • K P Singh, Indian Institute of Information Technology Allahabad

    Assistant Professor

    Indian Institute of Information Technology Allahabad

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Published

2011-05-13

Issue

Vol. 4 No. 2: (April 2011)

Section

Partial Differential Equations and Dynamical Systems

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How to Cite

Hybridization of Neural Nets and Genetic Algorithms to Compute the Boundary Control for Controlled Heat Equation. (2011). European Journal of Pure and Applied Mathematics, 4(2), 117-128. https://www.ejpam.com/index.php/ejpam/article/view/590