Name
Title | ||
|---|---|---|
Formulation and parameter selection of multi-objective deterministic particle swarm for simulation-based optimization. |
Abstract | ||
|---|---|---|
•Multi-objective deterministic PSO suitable for simulation-based optimization.•Multi-objective formulations and setup compared using 66 analytical test problems.•Most significant parameter identified based on more than 60,000 optimizations.•Most promising multi-objective formulation and setup identified.•Application to hydrodynamic hull-form optimization of a high speed catamaran. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1016/j.asoc.2017.05.013 | Applied Soft Computing |
Keywords | Field | DocType |
Multi-objective optimization,Derivative-free optimization,Global optimization,Deterministic particle swarm optimization,Simulation-based optimization | Continuous optimization,Stochastic optimization,Mathematical optimization,Test functions for optimization,Simulation-based optimization,Meta-optimization,Multi-objective optimization,Multi-swarm optimization,Artificial intelligence,Mathematics,Machine learning,Metaheuristic | Journal |
Volume | ISSN | Citations |
58 | 1568-4946 | 3 |
PageRank | References | Authors |
0.41 | 21 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Riccardo Pellegrini | 1 | 4 | 1.13 |
| Andrea Serani | 2 | 9 | 3.61 |
| Cecilia Leotardi | 3 | 7 | 1.51 |
| Umberto Iemma | 4 | 8 | 1.92 |
| Emilio F. Campana | 5 | 26 | 3.02 |
| Matteo Diez | 6 | 9 | 4.29 |