Neurodynamical optimization
From MaRDI portal
Publication:1771070
DOI10.1023/B:JOGO.0000015310.27011.02zbMath1058.90062OpenAlexW2912372405MaRDI QIDQ1771070
Li-Zhi Liao, Liqun Qi, Hou-Duo Qi
Publication date: 7 April 2005
Published in: Journal of Global Optimization (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1023/b:jogo.0000015310.27011.02
Nonlinear programming (90C30) Neural networks for/in biological studies, artificial life and related topics (92B20)
Related Items (24)
Discrete time-variant nonlinear optimization and system solving via integral-type error function and twice ZND formula with noises suppressed ⋮ Continuous methods for extreme and interior eigenvalue problems ⋮ Continuous and discrete Zhang dynamics for real-time varying nonlinear optimization ⋮ An ODE-like nonmonotone method for nonsmooth convex optimization ⋮ Initialization-free distributed algorithms for optimal resource allocation with feasibility constraints and application to economic dispatch of power systems ⋮ The regularization continuation method with an adaptive time step control for linearly constrained optimization problems ⋮ A nonmonotone ODE-based method for unconstrained optimization ⋮ Dynamical systems and topology optimization ⋮ A continuous method model for solving general variational inequality ⋮ A hybrid BB-type method for solving large scale unconstrained optimization ⋮ Distributed gradient algorithm for constrained optimization with application to load sharing in power systems ⋮ The regularization continuation method for optimization problems with nonlinear equality constraints ⋮ A study of the dual affine scaling continuous trajectories for linear programming ⋮ Discrete-time zeroing neural network of \(O(\tau^4)\) pattern for online solving time-varying nonlinear optimization problem: application to manipulator motion generation ⋮ A neurodynamic approach to zero-one quadratic programming ⋮ Continuous methods for symmetric generalized eigenvalue problems ⋮ A continuous method for convex programming problems ⋮ A novel neural dynamical approach to convex quadratic program and its efficient applications ⋮ Explicit pseudo-transient continuation and the trust-region updating strategy for unconstrained optimization ⋮ A neurodynamic approach to convex optimization problems with general constraint ⋮ Nutrient modulated structural design with application to growth and degradation ⋮ Combining trust-region techniques and Rosenbrock methods to compute stationary points ⋮ Tensor neural network models for tensor singular value decompositions ⋮ A collective neurodynamic optimization approach to bound-constrained nonconvex optimization
This page was built for publication: Neurodynamical optimization