Performance analysis for crossover operators of genetic algorithm.
Kengo KatayamaHisayuki HirabayashiHiroyuki NarihisaPublished in: Systems and Computers in Japan (1999)
Keyphrases
- crossover operator
- genetic algorithm
- mutation operator
- evolutionary algorithm
- fitness function
- memetic algorithm
- genetic algorithm ga
- explore the search space
- genetic operators
- traveling salesman problem
- hybrid genetic algorithm
- population diversity
- differential evolution
- real coded genetic algorithms
- constrained optimization problems
- evolutionary computation
- multi objective
- crossover and mutation operators
- simulated annealing
- genetic programming
- constrained multi objective optimization problems
- multidimensional knapsack problem
- optimization problems
- particle swarm optimization
- genetic search
- mutation probability
- global search
- neural network
- nsga ii
- selection operator
- evolution strategy
- linear programming
- special case
- artificial neural networks