Multi-objective optimization of an industrial fluidized-bed catalytic cracking unit (FCCU) using two jumping gene adaptations of simulated annealing.
B. SankararaoSantosh K. GuptaPublished in: Comput. Chem. Eng. (2007)
Keyphrases
- multi objective optimization
- simulated annealing
- evolutionary algorithm
- fluidized bed
- multi objective
- genetic algorithm
- coating process
- optimization problems
- tabu search
- pareto optimal
- multi objective optimization problems
- metaheuristic
- benchmark problems
- gene expression
- solution quality
- differential evolution
- microarray
- evolutionary computation
- multiple objectives
- nsga ii
- optimization method
- combinatorial optimization
- fitness function
- using artificial neural networks
- reinforced concrete
- multi objective genetic algorithm
- genetic algorithm ga
- particle swarm optimization pso
- mutation operator
- pareto optimal set
- multi objective problems
- particle swarm optimization
- genetic operators
- pareto dominance
- crossover and mutation
- bi objective
- input parameters
- multiscale
- genetic programming
- ant colony optimization
- multi objective evolutionary algorithms
- estimation of distribution algorithms
- multi objective optimisation
- multi objective genetic algorithms
- pareto frontier