Multi-objective extensions of the deterministic particle swarm algorithm for RBRDO in ship design: a parametric study (Contributo in atti di convegno)

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  • Multi-objective extensions of the deterministic particle swarm algorithm for RBRDO in ship design: a parametric study (Contributo in atti di convegno) (literal)
Anno
  • 2014-01-01T00:00:00+01:00 (literal)
Alternative label
  • Riccardo Pellegrini, Andrea Serani, Matteo Diez, Umberto Iemma, Emilio F. Campana (2014)
    Multi-objective extensions of the deterministic particle swarm algorithm for RBRDO in ship design: a parametric study
    in 17th Numercial Towing Tank Symposium - NuTTS 2014, Marstrand, Sweden, Mastrand, 28-30 September 2014
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Riccardo Pellegrini, Andrea Serani, Matteo Diez, Umberto Iemma, Emilio F. Campana (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • CNR-INSEAN, Rome, Italy Università Roma Tre, Rome, Italy (literal)
Titolo
  • Multi-objective extensions of the deterministic particle swarm algorithm for RBRDO in ship design: a parametric study (literal)
Abstract
  • Simulation-based design (SBD) optimization assists the designer in the design process of complex engineering systems. In this context, real-world problems are affected by different sources of uncertainties (operational, environmental, geometrical or numerical) and require reliability-based robust design optimization (RBRDO) formulations to identify the optimal solution. RBRDO is usually computationally very costly (especially if high-fidelity simulations are used) and may be achieved by means of metamodels, with efficient optimization algorithms. Herein, a RBRDO for ship design is solved, for real ocean environment including stochastic sea state and speed. (literal)
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