A subgradient-based neurodynamic algorithm to constrained nonsmooth nonconvex interval-valued optimization
From MaRDI portal
Publication:6077871
DOI10.1016/j.neunet.2023.01.012OpenAlexW4317513330MaRDI QIDQ6077871
Jingxin Liu, Xiaofeng Liao, Jin-Song Dong, Amin Mansoori
Publication date: 18 October 2023
Published in: Neural Networks (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.neunet.2023.01.012
subgradientinterval-valued optimizationasymptotic convergenceneurodynamic algorithmnonsmooth nonconvex
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Nonsmooth interval-valued optimization and saddle-point optimality criteria
- A study of interval optimization problems
- A one-layer recurrent neural network for constrained nonconvex optimization
- Exactness property of the exact absolute value penalty function method for solving convex nondifferentiable interval-valued optimization problems
- Solving the interval-valued optimization problems based on the concept of null set
- Optimality conditions and duality in nondifferentiable interval-valued programming
- A new neural network model for solving random interval linear programming problems
- A neurodynamic approach to nonlinear optimization problems with affine equality and convex inequality constraints
- Prepositioning emergency earthquake response supplies: a new multi-objective particle swarm optimization algorithm
- An integrated supply chain configuration model and procurement management under uncertainty: a set-based robust optimization methodology
- Sufficiency and duality in non-smooth interval valued programming problems
- A collective neurodynamic optimization approach to bound-constrained nonconvex optimization
- The Karush--Kuhn--Tucker optimality conditions in an optimization problem with interval-valued objective function
- Hausdorff matching and Lipschitz optimization
- On interval-valued nonlinear programming problems
- Distributed generalized Nash equilibrium seeking algorithm for nonsmooth aggregative games
- Optimization and nonsmooth analysis
- Generalized Neural Network for Nonsmooth Nonlinear Programming Problems
- Neural Network for Solving Constrained Convex Optimization Problems With Global Attractivity
- A continuous-time neurodynamic approach and its discretization for distributed convex optimization over multi-agent systems
- A second-order accelerated neurodynamic approach for distributed convex optimization
- Novel projection neurodynamic approaches for constrained convex optimization
- A proximal neurodynamic model for solving inverse mixed variational inequalities
