A genetic algorithm with gene dependent mutation probability for non-stationary optimization problems.
Renato TinósAndré Carlos Ponce de Leon Ferreira de CarvalhoPublished in: IEEE Congress on Evolutionary Computation (2004)
Keyphrases
- non stationary
- mutation probability
- genetic algorithm
- optimization problems
- evolutionary algorithm
- crossover operator
- metaheuristic
- crossover and mutation
- traveling salesman problem
- fitness function
- multi objective
- nsga ii
- objective function
- cost function
- constrained optimization problems
- benchmark problems
- adaptive algorithms
- mutation operator
- simulated annealing
- test problems
- ant colony optimization
- genetic operators
- multi objective optimization
- combinatorial optimization
- selection operator
- genetic programming
- differential evolution
- neural network
- empirical mode decomposition
- population diversity
- genetic algorithm ga
- optimization methods
- artificial neural networks
- evolution strategy
- memetic algorithm
- tabu search
- optimization method
- knapsack problem
- change point detection