A reference vector adaptive strategy for balancing diversity and convergence in many-objective evolutionary algorithms.
Lin ZhangLiping WangXiaotian PanQicang QiuPublished in: Appl. Intell. (2023)
Keyphrases
- evolutionary algorithm
- population diversity
- multi objective evolutionary algorithms
- multi objective
- evolutionary strategy
- multi objective optimization
- evolutionary computation
- differential evolution
- adaptive strategies
- fitness function
- optimization problems
- differential evolution algorithm
- pareto optimal solutions
- mutation operation
- evolutionary process
- simulated annealing
- nsga ii
- evolution strategy
- genetic programming
- genetic algorithm
- particle swarm optimization
- multiple objectives
- crossover operator
- genetic operators
- convergence speed
- mutation operator
- bi objective
- neural network
- initial population
- optimization method
- optimization algorithm
- global convergence
- cost function