: MOEA/D using SVM-based Surrogates adjusted to Subproblems for Many objective optimization.
Takumi SonodaMasaya NakataPublished in: CEC (2020)
Keyphrases
- multi objective evolutionary algorithms
- multi objective
- nsga ii
- multiple objectives
- pareto dominance
- optimization problems
- pareto optimal
- multi objective optimization
- evolutionary algorithm
- test problems
- support vector
- support vector machine
- multiobjective optimization
- multiobjective evolutionary algorithm
- differential evolution
- uniform design
- multi objective problems
- multi criteria
- support vector machine svm
- bi objective
- optimization algorithm
- np hard
- active learning
- fitness function
- relevance feedback
- benchmark problems
- pareto optimal solutions
- evolutionary computation
- global constraints
- genetic algorithm
- metaheuristic
- search space
- knapsack problem
- svm classifier
- genetic programming
- reducing the search space
- case based reasoning
- lower bound
- feature extraction