A two-phase surrogate approach for high-dimensional constrained discrete multi-objective optimization.
Rommel G. RegisPublished in: GECCO Companion (2021)
Keyphrases
- multi objective optimization
- high dimensional
- multi objective
- evolutionary algorithm
- genetic algorithm
- pareto optimal
- multi objective optimization problems
- discrete data
- multiple objectives
- bi objective
- differential evolution
- crossover and mutation
- nsga ii
- multi objective genetic algorithms
- optimization algorithm
- low dimensional
- data points
- solving multi objective optimization problems
- hybrid evolutionary algorithm
- pareto optimal set
- genetic programming
- optimization problems
- multi objective genetic algorithm
- complex optimization problems
- objective function
- estimation of distribution algorithms
- lagrange multipliers
- constraint satisfaction
- feature space
- pareto frontier
- particle swarm optimization
- neural network
- constrained multi objective optimization problems