A many-objective evolutionary algorithm based on novel fitness estimation and grouping layering.
Wei ZhangJianchang LiuJunhua LiuYuanchao LiuHonghai WangPublished in: Neural Comput. Appl. (2023)
Keyphrases
- evolutionary algorithm
- evolutionary computation
- multi objective
- fitness function
- optimization problems
- genetic programming
- multiple objectives
- multi objective optimization
- simulated annealing
- population diversity
- differential evolution
- fitness landscape
- genetic operators
- genetic algorithm
- evolution process
- crossover operator
- evolutionary process
- accurate estimation
- function optimization
- hybrid evolutionary algorithm
- mutation operator
- evolution strategy
- multi objective evolutionary algorithms
- estimation process
- data sets
- evolutionary search
- maximum likelihood estimation
- perceptual grouping
- computer aided
- estimation accuracy
- computational intelligence
- search space
- artificial neural networks
- real time
- database