A new Pareto frontier covering strategy in FS-MOGA for multi-objective function optimization.
Ryo MiyazakiNaoki HamadaYuichi NagataIsao OnoPublished in: SCIS&ISIS (2012)
Keyphrases
- function optimization
- multi objective
- evolutionary algorithm
- multi objective optimization
- pareto frontier
- multi objective genetic algorithm
- genetic algorithm
- nsga ii
- mutation operator
- pareto set
- multi objective genetic algorithms
- optimization algorithm
- multiobjective optimization
- optimization problems
- multiple objectives
- evolutionary computation
- crossover operator
- bi objective
- differential evolution
- fitness function
- particle swarm optimization
- pareto optimal
- pareto dominance
- pareto optimal solutions
- feature selection
- simulated annealing
- ant colony optimization
- genetic programming
- objective function
- multi objective evolutionary algorithms
- reinforcement learning
- branch and bound algorithm
- population size
- learning problems
- optimization method
- optimum design
- search algorithm
- neural network