Indicator-based evolutionary algorithm with hypervolume approximation by achievement scalarizing functions.
Hisao IshibuchiNoritaka TsukamotoYuji SakaneYusuke NojimaPublished in: GECCO (2010)
Keyphrases
- evolutionary algorithm
- multi objective
- nsga ii
- evolutionary computation
- multi objective optimization
- uniform design
- optimization problems
- simulated annealing
- multiple objectives
- fitness function
- continuous functions
- genetic programming
- function optimization
- genetic algorithm
- multi objective evolutionary algorithms
- mutation operator
- differential evolution
- optimization algorithm
- data sets
- crossover operator
- approximation algorithms
- genetic operators
- queueing networks
- error bounds
- approximation methods
- linear functions
- quantum evolutionary algorithm