Riesz s-energy-based Reference Sets for Multi-Objective optimization.
Jesús Guillermo Falcón-CardonaHisao IshibuchiCarlos A. Coello CoelloPublished in: CEC (2020)
Keyphrases
- multi objective optimization
- multi objective
- evolutionary algorithm
- multi objective optimization problems
- genetic algorithm
- differential evolution
- hybrid evolutionary algorithm
- nsga ii
- pareto optimal
- multi objective genetic algorithm
- reference set
- bi objective
- solving multi objective optimization problems
- crossover and mutation
- vector valued
- multiple objectives
- multi objective genetic algorithms
- neural network
- optimization algorithm
- particle swarm optimization
- multiresolution