A variant of the united multi-operator evolutionary algorithms using sequential quadratic programming and improved SHADE-cnEpSin.
Libin HongYoujian GuoFuchang LiuBen WangPublished in: Inf. Sci. (2023)
Keyphrases
- evolutionary algorithm
- sequential quadratic programming
- optimization problems
- evolutionary computation
- multi objective
- multi objective optimization
- differential evolution
- genetic algorithm
- simulated annealing
- fitness function
- machine learning
- computational intelligence
- improved algorithm
- evolution strategy
- differential evolution algorithm
- feature space
- bayesian networks
- function approximation
- state space
- nsga ii
- mutation operator
- evolutionary process
- evolutionary search