A Two-Engine interaction driven many-objective evolutionary algorithm with feasibility-aware adaptation.
Hongwei GeMingde ZhaoKai ZhangYaqing HouPublished in: Appl. Soft Comput. (2019)
Keyphrases
- evolutionary algorithm
- multi objective
- evolutionary computation
- function optimization
- optimization problems
- multiple objectives
- genetic programming
- multi objective optimization
- human computer interaction
- data driven
- fitness function
- differential evolution
- user interaction
- optimization algorithm
- mutation operator
- air fuel ratio
- nsga ii
- database
- expert systems
- genetic algorithm
- machine learning
- multi agent systems
- human interaction
- quality metrics
- dynamic adaptation
- databases