Multiobjective tree-structured parzen estimator for computationally expensive optimization problems.
Yoshihiko OzakiYuki TanigakiShuhei WatanabeMasaki OnishiPublished in: GECCO (2020)
Keyphrases
- computationally expensive
- multi objective
- optimization problems
- evolutionary algorithm
- nsga ii
- objective function
- multiobjective evolutionary algorithms
- error estimation
- multi objective optimization
- optimization algorithm
- multiobjective optimization
- maximum likelihood
- computationally efficient
- tree structured data
- tree structure
- multi objective optimization problems
- multiple objectives
- multiobjective evolutionary algorithm
- candidate solutions
- knapsack problem
- density estimation
- genetic algorithm
- particle swarm optimization
- structured data
- fitness function
- optimization method
- simulated annealing
- metaheuristic
- index structure
- multiobjective genetic algorithm
- least squares
- conflicting objectives
- artificial bee colony
- optimization methods
- brute force
- combinatorial optimization
- cost function
- probabilistic neural network
- maximum a posteriori
- knn
- swarm intelligence
- differential evolution
- test problems
- non stationary
- pareto optimal
- iterative methods
- evolution strategy
- crossover operator
- multi objective evolutionary algorithms
- bi objective