A clustering-based surrogate-assisted evolutionary algorithm (CSMOEA) for expensive multi-objective optimization.
Wenxin WangHuachao DongPeng WangXinjing WangJiangtao ShenPublished in: Soft Comput. (2023)
Keyphrases
- multi objective optimization
- evolutionary algorithm
- multi objective
- optimization problems
- evolutionary computation
- differential evolution
- hybrid evolutionary algorithm
- multi objective optimization problems
- genetic programming
- multiple objectives
- simulated annealing
- evolutionary strategy
- function optimization
- genetic algorithm
- crossover and mutation
- fitness function
- multi objective genetic algorithms
- evolution strategy
- bi objective
- multi objective genetic algorithm
- pareto optimal solutions
- pareto optimal set
- pareto optimal
- genetic operators
- nsga ii
- optimization algorithm
- initial population
- mutation operator
- optimization method
- solving multi objective optimization problems
- multi objective evolutionary algorithms
- particle swarm
- test problems
- pareto dominance
- multi objective problems
- complex optimization problems
- particle swarm optimization