Solving Constrained Pseudoconvex Optimization Problems with deep learning-based neurodynamic optimization.
Dawen WuAbdel LisserPublished in: Math. Comput. Simul. (2024)
Keyphrases
- optimization problems
- deep learning
- constrained problems
- combinatorial optimization
- evolutionary algorithm
- nonlinear optimization problems
- unsupervised learning
- metaheuristic
- cost function
- machine learning
- objective function
- restricted boltzmann machine
- unsupervised feature learning
- weakly supervised
- lagrange multipliers
- dimensionality reduction
- mental models
- reinforcement learning
- deep architectures