A Random Forest-Assisted Decomposition-Based Evolutionary Algorithm for Multi-Objective Combinatorial Optimization Problems.
Matheus Bernardelli de MoraesGuilherme Palermo CoelhoPublished in: CEC (2022)
Keyphrases
- random forest
- evolutionary algorithm
- combinatorial optimization problems
- multi objective
- optimization problems
- metaheuristic
- combinatorial optimization
- random forests
- optimization algorithm
- knapsack problem
- decision trees
- simulated annealing
- multi objective optimization
- particle swarm optimization
- traveling salesman problem
- multiple objectives
- feature set
- genetic algorithm
- benchmark problems
- nsga ii
- multi label
- optimization method
- fitness function
- ant colony optimization
- ensemble methods
- genetic programming
- decision tree learning algorithms
- base classifiers
- vehicle routing problem
- tabu search
- search space
- ensemble classifier
- estimation of distribution algorithms
- image processing