A knee-point-based evolutionary algorithm using weighted subpopulation for many-objective optimization.
Juan ZouChunhui JiShengxiang YangYuping ZhangJinhua ZhengKe LiPublished in: Swarm Evol. Comput. (2019)
Keyphrases
- evolutionary algorithm
- population diversity
- multi objective
- multiple objectives
- evolutionary computation
- optimization problems
- nsga ii
- differential evolution
- computer assisted
- multi objective optimization
- simulated annealing
- island model
- genetic algorithm
- genetic programming
- multi objective evolutionary algorithms
- genetic operators
- weighted sum
- fitness function
- crossover operator
- function optimization
- hybrid evolutionary algorithm
- data sets
- quantum evolutionary algorithm
- evolutionary strategy
- mutation operator
- neural network
- pareto optimal
- weighted distance
- automatic segmentation
- learning algorithm