Machine Learning and Metaheuristics for Black-Box Optimization of Product Families: A Case-Study Investigating Solution Quality vs. Computational Overhead.
David StengerLena C. AltherrDirk AbelPublished in: OR (2018)
Keyphrases
- black box
- solution quality
- simulated annealing
- machine learning
- optimal solution
- test problems
- optimization problems
- benchmark instances
- computational effort
- optimization method
- computational efficiency
- feasible solution
- metaheuristic
- tabu search
- combinatorial optimization
- path relinking
- black boxes
- grasp with path relinking
- test instances
- optimization algorithm
- white box
- white box testing
- test cases
- evolutionary algorithm
- genetic algorithm
- decision trees
- global search
- integration testing
- tabu search algorithm
- population diversity
- genetic algorithm ga
- reinforcement learning
- benchmark problems
- global optimization
- cost function
- np hard
- supervised learning
- relational databases
- objective function
- aco algorithm
- scatter search
- linear programming
- particle swarm optimization
- training samples
- learning algorithm
- ant colony optimization
- neural network