Improving the Responsiveness of NSGA-II in Dynamic Environments Using an Adaptive Mutation Operator - A Case Study.
Álvaro GomesCarlos Henggeler AntunesAntonio Gomes MartinsPublished in: KES (1) (2008)
Keyphrases
- dynamic environments
- mutation operator
- nsga ii
- multi objective
- multi objective optimization
- evolutionary algorithm
- test problems
- differential evolution
- premature convergence
- multiobjective optimization
- crossover operator
- optimization problems
- pareto optimal
- optimization algorithm
- multiobjective evolutionary algorithm
- genetic algorithm
- optimal solution
- genetic operators
- multi objective differential evolution
- uniform design
- multi objective optimization problems
- mobile robot
- fitness function
- multi objective evolutionary algorithms
- evolutionary multiobjective optimization
- evolutionary multiobjective
- knapsack problem
- constrained multi objective optimization problems
- bi objective
- path planning
- genetic programming
- convergence rate
- objective function
- hybrid genetic algorithm
- changing environment
- multiple objectives
- multi criteria
- np hard
- neural network
- evolutionary computation
- particle swarm optimization
- benchmark problems
- hybrid algorithm
- particle swarm optimization pso