Solving Black-Box Optimization Challenge via Learning Search Space Partition for Local Bayesian Optimization.
Mikita SazanovichAnastasiya NikolskayaYury BelousovAleksei ShpilmanPublished in: CoRR (2020)
Keyphrases
- black box
- discrete optimization
- optimization problems
- optimization algorithm
- learning algorithm
- reinforcement learning
- learning process
- nonlinear programming
- black boxes
- search algorithm
- candidate solutions
- combinatorial optimization
- learning tasks
- bayesian learning
- white box testing
- global search
- optimization process
- solution space
- optimization method
- data model
- bayesian networks
- high level
- case study