Two-Stage Evolutionary Algorithm Using Clustering for Multimodal Multi-objective Optimization with Imbalance Convergence and Diversity.
Guoqing LiWanliang WangYule WangPublished in: ICA3PP (3) (2021)
Keyphrases
- multi objective optimization
- evolutionary algorithm
- population diversity
- multi objective evolutionary algorithms
- multi objective
- multi objective genetic algorithm
- evolutionary computation
- optimization problems
- fitness function
- differential evolution
- nsga ii
- genetic algorithm
- pareto optimal
- pareto dominance
- hybrid evolutionary algorithm
- evolutionary process
- evolutionary strategy
- k means
- multi objective optimization problems
- pareto optimal solutions
- genetic programming
- pareto optimal set
- multiple objectives
- bi objective
- solving multi objective optimization problems
- function optimization
- genetic operators
- mutation operator
- crossover operator
- convergence speed
- multi objective genetic algorithms
- clustering algorithm
- evolution strategy
- optimization method
- simulated annealing
- neural network
- optimization algorithm
- particle swarm optimization
- complex optimization problems