Combining surrogate models and local search for dealing with expensive multi-objective optimization problems.
Saúl Zapotecas MartínezCarlos Artemio Coello CoelloPublished in: IEEE Congress on Evolutionary Computation (2013)
Keyphrases
- multi objective optimization problems
- multi objective
- multi objective optimization
- search algorithm
- genetic algorithm
- evolutionary algorithm
- differential evolution
- test problems
- optimal solution
- search space
- memetic algorithm
- tabu search
- multi objective evolutionary algorithms
- particle swarm optimization
- artificial intelligence
- multi objective evolutionary
- global search
- optimization problems
- upper bound
- artificial neural networks
- decision making
- pareto optimal set