A novel two-stage constraints handling framework for real-world multi-constrained multi-objective optimization problem based on evolutionary algorithm.
Xin LiQing AnJun ZhangFan XuRuo-Li TangZhengcheng DongXiaodi ZhangJingang LaiXiaobing MaoPublished in: Appl. Intell. (2021)
Keyphrases
- multi objective optimization
- evolutionary algorithm
- multi objective
- real world
- evolutionary computation
- optimization problems
- differential evolution
- multi objective optimization problems
- nsga ii
- multiple objectives
- simulated annealing
- multi objective genetic algorithm
- neural network
- function optimization
- fitness function
- hybrid evolutionary algorithm
- genetic algorithm
- evolutionary strategy
- genetic programming
- constraint satisfaction
- genetic operators
- evolution strategy
- multiobjective optimization
- mutation operator
- crossover operator
- multi objective problems
- pareto optimal set