Clustering aided approach for decision making in computationally expensive multiobjective optimization.
Timo AittokoskiSami ÄyrämöKaisa MiettinenPublished in: Optim. Methods Softw. (2009)
Keyphrases
- computationally expensive
- multiobjective optimization
- decision making
- multi objective
- min max
- swarm intelligence
- computationally efficient
- image thresholding
- clustering algorithm
- clustering method
- artificial immune system
- cooperative coevolution
- engineering problems
- multiobjective evolutionary algorithms
- artificial bee colony
- decision makers
- evolutionary algorithm
- data mining
- optimization algorithm
- particle swarm optimization
- fuzzy logic
- nsga ii
- multiple objectives
- biological systems
- multi objective optimization
- evolutionary computation
- search algorithm
- machine learning
- neural network
- pareto frontier