Application of derivative-free multi-objective algorithms to reliability-based robust design optimization of a high-speed catamaran in real ocean environment (Contributo in atti di convegno)

Type
Label
  • Application of derivative-free multi-objective algorithms to reliability-based robust design optimization of a high-speed catamaran in real ocean environment (Contributo in atti di convegno) (literal)
Anno
  • 2014-01-01T00:00:00+01:00 (literal)
Alternative label
  • Pellegrini, R., Rinaldi, F., Campana, E.F., Diez, M., Fasano, G., Iemma, U., Liuzzi, G., Lucidi, S., Serani, A., Stern, F. (2014)
    Application of derivative-free multi-objective algorithms to reliability-based robust design optimization of a high-speed catamaran in real ocean environment
    in 4th International Conference on Engineer- ing Optimization, EngOpt 2014, 8-11 September 2014, Lisbon, Portugal, Lisbon, 8-11 September 2014
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Pellegrini, R., Rinaldi, F., Campana, E.F., Diez, M., Fasano, G., Iemma, U., Liuzzi, G., Lucidi, S., Serani, A., Stern, F. (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • CNR-INSEAN, Rome, Italy CNR-IASI, Rome, Italy Department of Mathematics, Università di Padova, Padova, Italy Department of Management, Università Ca' Foscari, Venice, Italy Department of Engineering, Università Roma Tre, Rome, Italy Department of Computer, Control, and Management Engineering, Università La Sapienza, Rome, Italy IIHR-Hydroscience & Engineering, The University of Iowa, Iowa City, USA (literal)
Titolo
  • Application of derivative-free multi-objective algorithms to reliability-based robust design optimization of a high-speed catamaran in real ocean environment (literal)
Abstract
  • A reliability-based robust design optimization (RBRDO) for ship hulls is presented. A real ocean environment is considered, including stochastic sea state and speed. The optimization problem has two objectives: (a) the reduction of the expected value of the total resistance in waves and (b) the increase of the ship operability (reliability). Analysis tools include a URANS solver, uncertainty quantification methods and metamodels, developed and validated in earlier research. The design space is defined by an orthogonal four- dimensional representation of shape modifications, based on the Karhunen-Loe`ve expansion of free-form defor- mations of the original hull. The objective of the present paper is the assessment of deterministic derivative-free multi-objective optimization algorithms for the solution of the RBRDO problem, with focus on multi-objective extensions of the deterministic particle swarm optimization (DPSO) algorithm. Three evaluation metrics provide the assessment of the proximity of the solutions to a reference Pareto front and their wideness. (literal)
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