A parameter-less genetic algorithm with customized crossover and mutation operators.
Farhad NadiAhamad Tajudin Abdul KhaderPublished in: GECCO (2011)
Keyphrases
- crossover and mutation operators
- genetic algorithm
- binary representation
- crossover operator
- genetic algorithm ga
- crossover and mutation
- mutation operator
- fitness function
- evolutionary algorithm
- differential evolution
- simulated annealing
- memetic algorithm
- estimation of distribution algorithms
- neural network
- genetic operators
- multi objective
- traveling salesman problem
- hamming distance
- genetic programming
- genetic search
- global search
- premature convergence
- multi objective optimization
- initial population
- feature selection
- convergence rate
- optimization method
- metaheuristic
- artificial neural networks