Improving NSGA-II with an adaptive mutation operator.
Arthur Gonçalves CarvalhoAluizio F. R. AraújoPublished in: GECCO (Companion) (2009)
Keyphrases
- mutation operator
- nsga ii
- multi objective
- evolutionary algorithm
- multi objective optimization
- test problems
- crossover operator
- pareto optimal
- premature convergence
- optimization problems
- differential evolution
- multiobjective optimization
- multiobjective evolutionary algorithm
- genetic algorithm
- optimal solution
- knapsack problem
- multi objective differential evolution
- optimization algorithm
- evolutionary multiobjective optimization
- evolutionary programming
- constrained multi objective optimization problems
- fitness function
- multi objective evolutionary algorithms
- evolutionary multiobjective
- multi objective optimisation
- multi objective optimization problems
- uniform design
- genetic operators
- convergence rate
- bi objective
- genetic programming
- pareto optimal solutions
- multiple objectives
- particle swarm optimization
- hybrid genetic algorithm
- artificial neural networks
- simulated annealing
- neural network
- linear programming
- convergence speed
- initial population
- search space
- optimization method
- particle swarm
- mathematical model
- solution quality
- hybrid algorithm
- genetic algorithm ga
- traveling salesman problem