A New Hybrid Evolution Genetic Algorithm with Laplace Crossover and Power Mutation.
Xinshun MaPublished in: CIS (2) (2009)
Keyphrases
- genetic algorithm
- mutation operator
- evolution process
- crossover operator
- natural selection
- evolutionary process
- evolutionary algorithm
- fitness function
- genetic algorithm ga
- differential evolution
- crossover and mutation
- evolutionary computation
- genetic operators
- fuzzy logic
- function optimization problems
- power consumption
- multi objective
- neural network
- mutation probability
- genetic programming
- simulated annealing
- real coded
- mutation rate
- population size
- candidate solutions
- mutation operation
- adaptive mutation
- function optimization
- parameter optimization
- global search
- convergence speed
- hybrid algorithm
- tabu search
- particle swarm optimization
- artificial neural networks
- evolutionary programming
- job shop scheduling problem
- multi objective optimization
- mutation strategy