On enhancing genetic algorithms using new crossovers.
Ahmad B. A. HassanatEsra'a AlkafaweenPublished in: Int. J. Comput. Appl. Technol. (2017)
Keyphrases
- genetic algorithm
- fitness function
- multi objective
- genetic programming
- evolutionary computation
- evolutionary algorithm
- artificial neural networks
- fuzzy logic
- simulated annealing
- neural network
- mutation operator
- metaheuristic
- stochastic search algorithms
- function optimization
- genetic algorithm ga
- tabu search
- image processing
- artificial intelligence
- machine learning
- multi agent systems
- learning environment
- multiscale
- hybrid algorithm
- crossover operator
- genetic operators
- genetic search
- modular neural networks
- real world