New crossover operators using dominance and co-dominance principles for faster convergence of genetic algorithms.
G. PavaiT. V. GeethaPublished in: Soft Comput. (2019)
Keyphrases
- faster convergence
- crossover operator
- genetic algorithm
- mutation operator
- evolutionary algorithm
- differential evolution
- genetic operators
- memetic algorithm
- step size
- convergence speed
- explore the search space
- fitness function
- dominance relation
- global optimum
- neural network
- traveling salesman problem
- simulated annealing
- function optimization
- population diversity
- pso algorithm
- particle swarm optimization
- fuzzy logic
- special case
- evolutionary computation
- convergence rate
- genetic programming
- artificial neural networks
- lower bound
- image processing
- genetic algorithm ga