A new finite-time varying-parameter convergent-differential neural-network for solving nonlinear and nonconvex optimization problems.
Zhijun ZhangLunan ZhengLingao LiXiaoyan DengLin XiaoGuoshun HuangPublished in: Neurocomputing (2018)
Keyphrases
- optimization problems
- solving nonlinear
- neural network
- augmented lagrangian
- constrained optimization problems
- equality constraints
- nonlinear programming
- artificial bee colony algorithm
- evolutionary algorithm
- objective function
- nonlinear equations
- metaheuristic
- convex optimization
- cost function
- traveling salesman problem
- optimization methods
- lagrange multipliers
- artificial neural networks
- constrained optimization
- feed forward
- combinatorial optimization
- differential evolution
- linear programming problems
- back propagation
- nsga ii
- regularization term
- penalty function
- ant colony optimization
- variational inequalities
- artificial bee colony
- linear programming
- genetic algorithm