A survey on handling computationally expensive multiobjective optimization problems with evolutionary algorithms.
Tinkle ChughKarthik SindhyaJussi HakanenKaisa MiettinenPublished in: Soft Comput. (2019)
Keyphrases
- computationally expensive
- multiobjective optimization problems
- evolutionary algorithm
- multi objective
- optimization problems
- differential evolution
- evolutionary computation
- nsga ii
- simulated annealing
- computationally efficient
- genetic programming
- multiobjective optimization
- genetic algorithm
- multi objective optimization
- mutation operator
- genetic operators
- fitness function
- optimization algorithm
- evolution strategy
- optimization method
- multiple objectives