An empirical investigation into the effects of chaos on different types of evolutionary crossover operators for efficient global search in complicated landscapes.
Mahdi EmamiAhmad MozaffariNasser L. AzadBehrooz RezaiePublished in: Int. J. Comput. Math. (2016)
Keyphrases
- global search
- genetic algorithm
- particle swarm optimization
- crossover operator
- convergence speed
- particle swarm optimization algorithm
- differential evolution
- global optimization
- premature convergence
- global optima
- mutation operator
- evolutionary algorithm
- traveling salesman problem
- evolutionary computation
- simulated annealing
- nonlinear optimization
- fitness function
- search algorithm
- pso algorithm
- special case
- search space
- inertia weight
- neural network