Sub-population genetic algorithm with mining gene structures for multiobjective flowshop scheduling problems.
Pei-Chann ChangShih-Hsin ChenChen-Hao LiuPublished in: Expert Syst. Appl. (2007)
Keyphrases
- multi objective
- genetic algorithm
- flowshop scheduling problems
- evolutionary algorithm
- flowshop scheduling
- multi objective optimization
- optimization algorithm
- multi population
- pareto optimal solutions
- population size
- mutation operator
- multi objective evolutionary algorithms
- multiobjective optimization
- pareto optimal set
- nsga ii
- multiple objectives
- particle swarm optimization
- multiobjective genetic algorithm
- initial population
- selection operator
- crossover and mutation
- objective function
- text mining
- genetic programming
- pareto optimal
- multiobjective evolutionary algorithm
- fitness function
- neural network
- simulated annealing
- genetic operators
- evolutionary computation
- gene expression
- microarray
- differential evolution
- bi objective
- computational complexity
- upper bound
- metaheuristic
- tabu search
- genetic algorithm ga
- artificial immune system
- particle swarm optimization pso
- crossover operator
- dna sequences