A new genetic algorithm with diploid chromosomes by using probability decoding for non-stationary function optimization.
Manabu KominamiTomoki HamagamiPublished in: SMC (2007)
Keyphrases
- non stationary
- function optimization
- genetic algorithm
- evolutionary algorithm
- crossover operator
- mutation operator
- function optimization problems
- genetic operators
- fitness function
- clonal selection algorithm
- ant colony optimization
- differential evolution
- multi objective
- multi objective optimization
- adaptive algorithms
- probability distribution
- genetic algorithm ga
- metaheuristic
- neural network
- empirical mode decomposition
- particle swarm optimization
- simulated annealing
- crossover and mutation
- hybrid algorithm
- job shop scheduling problem
- initial population
- traveling salesman problem
- support vector
- artificial neural networks
- objective function
- learning tasks
- tabu search
- genetic programming
- optimization problems
- supervised learning