Apply a novel evolutionary algorithm to the solution of parameter selection problems

DOI10.1016/j.amc.2010.04.062zbMath1193.65101OpenAlexW2031384383WikidataQ115463171 ScholiaQ115463171MaRDI QIDQ984390

Sheng-Chung Ni, Tzu-Chen Huang, Daim-Yuang Sun

Publication date: 19 July 2010

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

Full work available at URL: https://doi.org/10.1016/j.amc.2010.04.062

zbMATH Keywords

optimal controlnumerical examplesparameter identificationnonlinear programmingevolutionary algorithmscontrol parametrizationparameter selectionline-up competition algorithm

Mathematics Subject Classification ID

Numerical mathematical programming methods (65K05) Nonlinear programming (90C30) Numerical optimization and variational techniques (65K10) Numerical methods based on nonlinear programming (49M37) Existence theories for optimal control problems involving ordinary differential equations (49J15)

Related Items

Retracted: Modified hybrid algorithm for process optimization, A self-adaptive chaotic differential evolution algorithm using gamma distribution for unconstrained global optimization

Uses Software

• dverk

Cites Work

• Unnamed Item
• Unnamed Item
• Parameter identification problem: Real-coded GA approach
• Control parametrization: a unified approach to optimal control problems with general constraints
• A global optimization algorithm using adaptive random search
• Solving the parameter identification problem of mathematical models using genetic algorithms
• An effective hybrid PSOSA strategy for optimization and its application to parameter estimation
• Application of dynamic programming to high-dimensional non-linear optimal control problems