Multi-objective optimization of an industrial fluidized-bed catalytic cracking unit (FCCU) using genetic algorithm (GA) with the jumping genes operator.
Rahul B. KasatSantosh K. GuptaPublished in: Comput. Chem. Eng. (2003)
Keyphrases
- multi objective optimization
- genetic algorithm ga
- fluidized bed
- genetic algorithm
- evolutionary algorithm
- fitness function
- multi objective
- coating process
- simulated annealing
- particle swarm optimization pso
- pareto optimal
- multi objective optimization problems
- genetic operators
- neural network
- evolutionary computation
- parameter settings
- crossover and mutation
- multiple objectives
- hybrid ga
- crossover operator
- premature convergence
- parameter optimization
- artificial neural networks
- genetic programming
- multi objective genetic algorithms
- nsga ii
- input parameters
- differential evolution
- multi objective genetic algorithm
- optimization problems
- bi objective
- initial population
- real coded
- objective function
- particle swarm optimisation
- particle swarm
- particle swarm optimization
- artificial immune system
- tabu search