Periodic Mutation Operator for Nurse Scheduling by Using Cooperative GA.
Makoto OhkiPublished in: Int. J. Appl. Evol. Comput. (2012)
Keyphrases
- mutation operator
- cooperative
- genetic algorithm
- evolutionary algorithm
- crossover operator
- differential evolution
- genetic operators
- premature convergence
- genetic algorithm ga
- crossover and mutation
- function optimization
- fitness function
- convergence rate
- initial population
- evolutionary programming
- search direction
- crossover and mutation operators
- hybrid genetic algorithm
- neural network
- multi objective
- scheduling problem
- nsga ii
- genetic programming
- step size
- health care
- multi objective optimization
- particle swarm optimization
- job shop scheduling problem
- population diversity
- evolutionary process
- evolutionary strategy
- simulated annealing
- particle swarm optimization pso
- evolutionary computation
- multiple objectives
- ant colony optimization
- differential evolution algorithm
- search capabilities
- optimization algorithm
- particle swarm
- particle swarm optimization algorithm
- convergence speed
- hybrid algorithm
- game theory