Accelerating surrogate assisted evolutionary algorithms for expensive multi-objective optimization via explainable machine learning.
Bingdong LiYanting YangDacheng LiuYan ZhangAimin ZhouXin YaoPublished in: Swarm Evol. Comput. (2024)
Keyphrases
- multi objective optimization
- evolutionary algorithm
- machine learning
- multi objective
- differential evolution
- evolutionary computation
- optimization problems
- multiple objectives
- multi objective optimization problems
- simulated annealing
- fitness function
- solving multi objective optimization problems
- genetic algorithm
- genetic programming
- pareto dominance
- genetic operators
- multi objective genetic algorithm
- hybrid evolutionary algorithm
- pareto optimal
- bi objective
- differential evolution algorithm
- optimization algorithm
- evolutionary strategy
- feature selection
- computational intelligence
- optimization method
- multi objective problems
- neural network
- multi objective genetic algorithms
- multi objective optimisation
- estimation of distribution algorithms
- initial population
- evolution strategy
- mutation operator