A fish shoal algorithm for global derivative-free simulation-based ship design optimization (Contributo in atti di convegno)

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  • A fish shoal algorithm for global derivative-free simulation-based ship design optimization (Contributo in atti di convegno) (literal)
Anno
  • 2014-01-01T00:00:00+01:00 (literal)
Alternative label
  • Matteo Diez, Andrea Serani, Umberto Iemma, Emilio F. Campana (2014)
    A fish shoal algorithm for global derivative-free simulation-based ship design optimization
    in 17th Numerical Towing Tank Symposium - NuTTS 2014, Marstrand, Sweden, Mastrand, 28-30 September 2014
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Matteo Diez, Andrea Serani, 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
  • A fish shoal algorithm for global derivative-free simulation-based ship design optimization (literal)
Abstract
  • The paper presents a nature-inspired derivative-free global optimization method, namely the fish shoal algorithm (FSA), for solving engineering optimization problems with costly objective functions. The method is intended for unconstrained single-objective maximization and is based on a simplified social model of a fish shoal in search for food. Derivative-free global optimization approaches are usually preferred to derivative-based local approaches, when objectives are noisy, derivatives are unknown and the existence of multiple local optima cannot be excluded, as often encountered in simulation-based design (SBD) optimization. When global techniques are used with CPU- time expensive solvers, the optimization process is computationally expensive and its effectiveness and efficiency remain an algorithmic and technological challenge. (literal)
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