Solving nonlinear equation systems via clustering-based adaptive speciation differential evolution

DOI10.3934/mbe.2021302zbMath1503.65108OpenAlexW3180793814MaRDI QIDQ2092068

Jixuan Sun, Qishuo Pang, Xianyan Mi, Huayong Qin

Publication date: 2 November 2022

Published in: Mathematical Biosciences and Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.3934/mbe.2021302

zbMATH Keywords

differential evolutionnonlinear equation systemsdynamic clustering sizesniche adaptive parameter controlre-initialization mechanism

Mathematics Subject Classification ID

Numerical mathematical programming methods (65K05) Nonconvex programming, global optimization (90C26) Numerical computation of solutions to systems of equations (65H10)

Related Items

Photovoltaic models parameter estimation via an enhanced Rao-1 algorithm

Uses Software

• CMA-ES

Cites Work

• A self-adaptive chaotic differential evolution algorithm using gamma distribution for unconstrained global optimization
• Finding multiple roots of a box-constrained system of nonlinear equations with a biased random-key genetic algorithm
• A new filled function method for an unconstrained nonlinear equation
• On locating all roots of systems of nonlinear equations inside bounded domain using global optimization methods
• Differential evolution -- a simple and efficient heuristic for global optimization over continuous spaces
• Static force capability optimization of humanoids robots based on modified self-adaptive differential evolution
• Applying genetic algorithms for solving nonlinear algebraic equations
• Phase transitions and configuration space topology
• Novel Homotopy Theory for Nonlinear Networks and Systems and Its Applications to Electrical Grids
• Generalized Nash equilibrium problems

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