Imperialist competitive algorithm for solving systems of nonlinear equations

DOI10.1016/J.CAMWA.2013.04.018zbMath1342.65139OpenAlexW1980728112MaRDI QIDQ2629440

Ayaz Isazadeh, Mahdi Abdollahi, Davoud Abdollahi

Publication date: 6 July 2016

Published in: Computers \& Mathematics with Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.camwa.2013.04.018

zbMATH Keywords

nonlinear equationsmeta-heuristicsevolutionary multi-objective optimizationICAroot solvers

Mathematics Subject Classification ID

Numerical mathematical programming methods (65K05) Multi-objective and goal programming (90C29)

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Chaotic quantum behaved particle swarm optimization algorithm for solving nonlinear system of equations ⋮ Improved salp swarm algorithm combined with chaos ⋮ Solving nonlinear systems and unconstrained optimization problems by hybridizing whale optimization algorithm and flower pollination algorithm ⋮ Continuous Variable Neighborhood Search (C-VNS) for Solving Systems of Nonlinear Equations ⋮ A new hybrid algorithm based on chaotic maps for solving systems of nonlinear equations ⋮ A revised imperialist competition algorithm for cellular manufacturing optimization based on product line design

Cites Work

• A new filled function method for an unconstrained nonlinear equation
• Particle swarm algorithm for solving systems of nonlinear equations
• A family of multi-point iterative methods for solving systems of nonlinear equations
• Conjugate direction particle swarm optimization solving systems of nonlinear equations
• Handbook of test problems in local and global optimization
• Balance between exploration and exploitation in genetic search
• Homotopies Exploiting Newton Polytopes for Solving Sparse Polynomial Systems

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