Self-adaptive polynomial mutation in NSGA-II.
Jose L. Carles-BouSeverino F. GalánPublished in: Soft Comput. (2023)
Keyphrases
- nsga ii
- evolutionary algorithm
- mutation operator
- multi objective
- differential evolution
- fitness function
- multi objective optimization
- genetic algorithm
- crossover operator
- pareto optimal
- multiobjective optimization
- multiobjective evolutionary algorithm
- optimization problems
- constrained multi objective optimization problems
- test problems
- optimization algorithm
- multi objective evolutionary algorithms
- multi objective optimization problems
- multi objective differential evolution
- uniform design
- multi objective optimisation
- optimal solution
- evolutionary multiobjective optimization
- bi objective
- genetic algorithm ga
- evolutionary multiobjective
- evolutionary computation
- genetic operators
- knapsack problem
- particle swarm optimization
- genetic programming
- pareto dominance
- control parameters
- multi objective problems
- multi objective genetic algorithm
- evolution strategy
- simulated annealing
- strength pareto evolutionary algorithm
- pareto optimal set
- metaheuristic
- particle swarm optimization pso
- pareto optimal solutions
- population size
- reinforcement learning