Random Hypervolume Scalarizations for Provable Multi-Objective Black Box Optimization.
Richard ZhangDaniel GolovinPublished in: ICML (2020)
Keyphrases
- black box
- multi objective
- uniform design
- optimization algorithm
- nsga ii
- candidate solutions
- multiple objectives
- evolutionary algorithm
- black boxes
- evolutionary optimization
- multiobjective optimization
- multi objective optimization
- optimum design
- multi objective evolutionary algorithms
- optimization problems
- white box
- conflicting objectives
- particle swarm optimization
- genetic algorithm
- test cases
- integration testing
- objective function
- multi objective optimization problems
- optimization method
- multi objective problems
- white box testing
- rule extraction
- neural network
- test problems
- optimization process
- benchmark problems
- fitness function
- test set
- genetic programming
- source code
- np hard
- relational databases
- strength pareto evolutionary algorithm
- data sets