Multi-objective optimization for the periodic operation of the naphtha pyrolysis process using a new parallel hybrid algorithm combining NSGA-II with SQP.
Xiaodan GaoBingzhen ChenXiaorong HeTong QiuJichun LiChongming WangLongjiang ZhangPublished in: Comput. Chem. Eng. (2008)
Keyphrases
- multi objective optimization
- nsga ii
- hybrid algorithm
- multi objective
- differential evolution
- evolutionary algorithm
- multi objective optimization problems
- particle swarm optimization
- genetic algorithm
- pareto optimal
- optimal solution
- multiobjective optimization
- pareto set
- multi objective evolutionary algorithms
- test functions
- multiple objectives
- simulated annealing
- particle swarm optimization pso
- bi objective
- pareto dominance
- multi objective genetic algorithm
- optimization method
- optimization algorithm
- pareto optimal set
- pareto optimal solutions
- multi objective problems
- multi objective optimisation
- constrained multi objective optimization problems
- objective function
- premature convergence
- mutation operator
- global search
- convergence speed
- pso algorithm
- fitness function
- ant colony optimization
- tabu search
- strength pareto evolutionary algorithm
- optimization problems