A many-objective evolutionary algorithm based on reference vector guided selection and two diversity and convergence enhancement strategies.
Lei YangYuanye ZhangJiale CaoKangshun LiDongya WangPublished in: Appl. Soft Comput. (2024)
Keyphrases
- evolutionary algorithm
- population diversity
- multi objective evolutionary algorithms
- multi objective
- multi objective optimization
- evolutionary computation
- differential evolution
- optimization problems
- fitness function
- nsga ii
- mutation operator
- selection strategies
- search strategies
- pareto optimal solutions
- premature convergence
- simulated annealing
- image enhancement
- genetic operators
- function optimization
- convergence speed
- evolutionary process
- evolutionary search
- convergence rate
- genetic programming
- crossover and mutation
- genetic algorithm
- multiple objectives
- crossover operator
- selection strategy
- particle swarm
- optimization method
- vector space
- search efficiency
- optimization algorithm
- particle swarm optimization
- feature vectors
- neural network
- solution quality
- image processing
- selection criteria