When Gradient Descent Meets Derivative-Free Optimization: A Match Made in Black-Box Scenario.
Chengcheng HanLiqing CuiRenyu ZhuJianing WangNuo ChenQiushi SunXiang LiMing GaoPublished in: CoRR (2023)
Keyphrases
- black box
- derivative free
- unconstrained optimization
- neural learning
- gradient method
- black boxes
- constrained optimization
- objective function
- optimization methods
- white box
- integration testing
- cost function
- test cases
- trust region
- multi layered
- fan beam
- search methods
- loss function
- optimization algorithm
- optimization problems
- white box testing
- nonlinear optimization
- penalty function
- neural network
- evolutionary algorithm