ELMOEA/D-DE: Extreme Learning Surrogate Models in Multi-objective Optimization Based on Decomposition and Differential Evolution.
Lucas M. PavelskiMyriam Regattieri DelgadoCarolina P. de AlmeidaRichard A. GonçalvesSandra M. VenskePublished in: BRACIS (2014)
Keyphrases
- multi objective optimization
- differential evolution
- evolutionary algorithm
- multi objective
- optimization algorithm
- differential evolution algorithm
- multi objective optimization problems
- convergence speed
- particle swarm optimization
- particle swarm optimization pso
- genetic algorithm
- test functions
- mutation operator
- optimization method
- hybrid algorithm
- nsga ii
- evolutionary computation
- constrained optimization problems
- evolutionary strategy
- multi objective problems
- evolution strategy
- bi objective
- artificial bee colony
- real coded
- multi objective genetic algorithms
- global search
- multi objective evolutionary algorithms
- parameter optimization
- pareto optimal
- multiple objectives
- cost function
- search algorithm