BFO, A Trainable Derivative-free Brute Force Optimizer for Nonlinear Bound-constrained Optimization and Equilibrium Computations with Continuous and Discrete Variables.
Margherita PorcelliPhilippe L. TointPublished in: ACM Trans. Math. Softw. (2017)
Keyphrases
- derivative free
- unconstrained optimization
- brute force
- constrained optimization
- continuous and discrete variables
- penalty function
- objective function
- state space
- lower bound
- computationally expensive
- optimization methods
- nonlinear optimization
- exhaustive search
- gradient method
- optimization algorithm
- nash equilibrium
- reinforcement learning
- motion estimation
- cost function
- search space