Solving nonlinear equations system via an efficient genetic algorithm with symmetric and harmonious individuals

DOI10.1016/j.amc.2013.04.041zbMath1306.65204OpenAlexW2049720798MaRDI QIDQ482451

Weihong Bi, Long Wu, Ioannis K. Argyros, Hongmin Ren

Publication date: 30 December 2014

Published in: Applied Mathematics and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.amc.2013.04.041

zbMATH Keywords

convergencesystem of nonlinear equationsnumerical examplesgenetic algorithmspopulation diversityelitist modelsymmetric and harmonious individuals

Mathematics Subject Classification ID

Numerical mathematical programming methods (65K05) Numerical computation of solutions to systems of equations (65H10) Stochastic programming (90C15)

Related Items (4)

Chaotic quantum behaved particle swarm optimization algorithm for solving nonlinear system of equations ⋮ An adaptive learning rate backpropagation‐type neural network for solving n × n systems on nonlinear algebraic equations ⋮ Novel Solution of Nonlinear Equations Using Genetic Algorithm ⋮ A genetic algorithm with a self-reproduction operator to solve systems of nonlinear equations

Cites Work

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• A new semilocal convergence theorem for Newton's method
• On an application of Newton's method to nonlinear operators with \(\omega\)-conditioned second derivative
• Computational theory of iterative methods.
• Adaptive Approximation of Nonlinear Operators

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