An approach for computationally expensive multi-objective optimization problems with independently evaluable objectives.
Mohammad Mohiuddin MamunHemant Kumar SinghTapabrata RayPublished in: Swarm Evol. Comput. (2022)
Keyphrases
- computationally expensive
- multi objective optimization problems
- multi objective evolutionary algorithms
- multi objective
- single objective optimization
- multi objective optimization
- multiple objectives
- evolutionary algorithm
- pareto optimal solutions
- differential evolution
- computationally efficient
- test problems
- multi objective evolutionary
- nsga ii
- multiobjective optimization
- optimization problems
- pareto optimal
- optimization algorithm
- genetic algorithm
- pareto optimal set
- multi criteria
- fitness function
- objective function
- continuous variables
- particle swarm optimization
- upper bound