A bagging-based surrogate-assisted evolutionary algorithm for expensive multi-objective optimization.
Yuanchao LiuJianchang LiuShubin TanYongkuan YangFei LiPublished in: Neural Comput. Appl. (2022)
Keyphrases
- multi objective optimization
- evolutionary algorithm
- multi objective
- evolutionary computation
- optimization problems
- ensemble methods
- differential evolution
- hybrid evolutionary algorithm
- decision trees
- fitness function
- nsga ii
- multiple objectives
- ensemble learning
- pareto optimal
- multi objective optimization problems
- simulated annealing
- genetic algorithm
- multi objective genetic algorithms
- genetic programming
- optimization method
- crossover and mutation
- bi objective
- genetic operators
- estimation of distribution algorithms
- solving multi objective optimization problems
- multi objective genetic algorithm
- pareto dominance
- pareto optimal set
- multi objective evolutionary algorithms
- evolutionary strategy
- function optimization
- mutation operator
- constrained multi objective optimization problems
- complex optimization problems
- initial population
- particle swarm
- optimization algorithm