A Surrogate-Assisted Reference Vector Guided Evolutionary Algorithm for Computationally Expensive Many-Objective Optimization.
Tinkle ChughYaochu JinKaisa MiettinenJussi HakanenKarthik SindhyaPublished in: IEEE Trans. Evol. Comput. (2018)
Keyphrases
- computationally expensive
- evolutionary algorithm
- multi objective
- multiple objectives
- nsga ii
- evolutionary computation
- multi objective optimization
- optimization problems
- function optimization
- differential evolution
- brute force
- fitness function
- optimization method
- multi objective evolutionary algorithms
- computationally efficient
- mutation operator
- genetic algorithm
- genetic programming
- evolution strategy
- genetic operators
- feature vectors
- simulated annealing
- vector data
- computer aided
- crossover operator
- machine learning
- batch mode