A Random Forest-Assisted Local Search for Expensive Permutation-based Combinatorial Optimization Problems.
Takashi IkeguchiShun SudoYuji KogumaMasaya NakataPublished in: CEC (2024)
Keyphrases
- random forest
- combinatorial optimization problems
- combinatorial optimization
- job shop scheduling problem
- metaheuristic
- knapsack problem
- decision trees
- random forests
- ant colony optimization
- tabu search
- simulated annealing
- optimization problems
- traveling salesman problem
- feature set
- search space
- aco algorithm
- optimal solution
- multi label
- aco algorithms
- memetic algorithm
- vehicle routing problem
- ensemble methods
- search algorithm
- dynamic programming
- image processing
- pairwise
- decision tree learning algorithms
- search strategies
- optimization method
- classification accuracy