A Two-Stage Evolutionary Algorithm With Balanced Convergence and Diversity for Many-Objective Optimization.
Fei MingWenyin GongLing WangPublished in: IEEE Trans. Syst. Man Cybern. Syst. (2022)
Keyphrases
- evolutionary algorithm
- multi objective evolutionary algorithms
- population diversity
- multi objective
- multi objective optimization
- nsga ii
- differential evolution
- fitness function
- evolutionary computation
- multiple objectives
- pareto dominance
- optimization problems
- crossover operator
- simulated annealing
- genetic programming
- evolutionary process
- mutation operator
- genetic algorithm
- multiobjective optimization
- function optimization
- optimization method
- genetic operators
- pareto optimal
- particle swarm optimization
- bi objective
- hybrid evolutionary algorithm
- premature convergence
- particle swarm
- search efficiency
- evolution process
- case study
- initial conditions
- particle swarm optimization pso
- artificial neural networks
- objective function