Enhancing MOEA/D with guided mutation and priority update for multi-objective optimization.
Chih-Ming ChenYing-Ping ChenQingfu ZhangPublished in: IEEE Congress on Evolutionary Computation (2009)
Keyphrases
- multi objective optimization
- evolutionary algorithm
- differential evolution
- multi objective
- genetic algorithm
- nsga ii
- crossover and mutation
- multi objective evolutionary algorithms
- mutation operator
- particle swarm optimization
- multiple objectives
- optimization algorithm
- pareto optimal solutions
- multi objective optimization problems
- optimization problems
- fitness function
- pareto set
- pareto optimal
- crossover operator
- pareto dominance
- particle swarm optimization pso
- bi objective
- evolutionary computation
- convergence speed
- multi objective genetic algorithm
- evolution strategy
- multiobjective evolutionary algorithm
- multiobjective optimization
- premature convergence
- particle swarm
- optimization method
- multi objective genetic algorithms
- genetic programming
- genetic operators
- simulated annealing
- single objective optimization
- pareto optimal set
- metaheuristic
- genetic algorithm ga
- swarm intelligence