Improving the non-dominate sorting genetic algorithm for multi-objective optimization
Allbwn ymchwil: Pennod mewn Llyfr/Adroddiad/Trafodion Cynhadledd › Cyfraniad i Gynhadledd › adolygiad gan gymheiriaid
The non-dominate sorting genetic algorithmic-II (NSGA-II) is a relatively recent technique for finding or approximating the Pareto-optimal set for multi-objective optimization problems. In different studies NSGA-II has shown good performance in comparison to other multi-objective evolutionary algorithms (Deb et al., 2002). In this paper an improved version which is named Niching-NSGA-II (n-NSGA-II) is proposed. This algorithm uses new method after non-dominate sorting procedure for keeping diversity. The comparison of n-NSGA-II with NSGA-II and other methods on ZDT test problems yields promising results.
| Iaith wreiddiol | Saesneg |
|---|---|
| Teitl | 2007 International Conference on Computational Intelligence and Security Workshops (CISW 2007) |
| Tudalennau | 89-92 |
| Nifer y tudalennau | 4 |
| Statws | Cyhoeddwyd - 2007 |
| Cyhoeddwyd yn allanol | Ie |