Normalized penalty gradient flow: A continuous-time approach for solving constrained nonconvex nonsmooth optimization problems.
Sijian WangXin YuHaihua QinPublished in: Neurocomputing (2024)
Keyphrases
- optimization problems
- constrained problems
- nonlinear programming
- objective function
- gradient flow
- evolutionary algorithm
- combinatorial optimization
- variational inequalities
- nonlinear optimization problems
- metaheuristic
- subgradient method
- lagrange multipliers
- cost function
- active contours
- energy functional
- image restoration and reconstruction
- regularization term
- convex functions
- curve evolution
- active contour model
- bilevel programming
- partial differential equations
- variational formulation
- image dependent
- optical flow
- prior information
- globally convergent
- loss function
- constrained optimization