Derivative-free global ship design optimization using global/local hybridization of the DIRECT algorithm

被引:29
|
作者
Campana, Emilio F. [1 ]
Diez, Matteo [1 ]
Iemma, Umberto [2 ]
Liuzzi, Giampaolo [4 ]
Lucidi, Stefano [3 ]
Rinaldi, Francesco [5 ]
Serani, Andrea [1 ,2 ]
机构
[1] Natl Res Council Marine Technol Res Inst CNR INSE, Via Vallerano 139, I-00128 Rome, Italy
[2] Univ Rome Tre, Dept Engn, Via Vito Volterra 62, I-00146 Rome, Italy
[3] Univ Roma La Sapienza, Dept Comp Control & Management Engn A Ruberti, Via Ariosto 25, I-00185 Rome, Italy
[4] Natl Res Council Inst Syst Anal & Comp Sci CNR IA, Via Taurini 19, I-00185 Rome, Italy
[5] Univ Padua, Dept Math, Via Trieste 63, I-35121 Padua, Italy
关键词
Ship design; Simulation-based design optimization; DIRECT-type algorithm; Global optimization; Local search; ADAPTIVE DIRECT SEARCH; SHAPE OPTIMIZATION; SURFACE COMBATANT; UNCERTAINTY ASSESSMENT; TESTS;
D O I
10.1007/s11081-015-9303-0
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The application of global/local hybrid DIRECT algorithms to the simulation-based hull form optimization of a military vessel is presented, aimed at the reduction of the resistance in calm water. The specific features of the black-box-type objective function make the problem suitable for the application of DIRECT-type algorithms. The objective function is given by numerical iterative procedures, which could lead to inaccurate derivative calculations. In addition, the presence of local minima cannot be excluded a priori. The algorithms proposed (namely DIRMIN and DIRMIN-2) are hybridizations of the classic DIRECT algorithm, with deterministic derivative-free local searches. The algorithms' performances are first assessed on a set of test problems, and then applied to the ship optimization application. The numerical results show that the local hybridization of the DIRECT algorithm has beneficial effects on the overall computational cost and on the efficiency of the simulation-based optimization procedure.
引用
收藏
页码:127 / 156
页数:30
相关论文
共 50 条
  • [1] Derivative-free global ship design optimization using global/local hybridization of the DIRECT algorithm
    Emilio F. Campana
    Matteo Diez
    Umberto Iemma
    Giampaolo Liuzzi
    Stefano Lucidi
    Francesco Rinaldi
    Andrea Serani
    Optimization and Engineering, 2016, 17 : 127 - 156
  • [2] Ship hydrodynamic optimization by local hybridization of deterministic derivative-free global algorithms
    Serani, Andrea
    Fasano, Giovanni
    Liuzzi, Giampaolo
    Lucidi, Stefano
    Iemma, Umberto
    Campana, Emilio F.
    Stern, Frederick
    Diez, Matteo
    APPLIED OCEAN RESEARCH, 2016, 59 : 115 - 128
  • [3] Combining Local and Global Direct Derivative-free Optimization for Reinforcement Learning
    Leonetti, Matteo
    Kormushev, Petar
    Sagratella, Simone
    CYBERNETICS AND INFORMATION TECHNOLOGIES, 2012, 12 (03) : 53 - 65
  • [4] Exploiting derivative-free local searches in DIRECT-type algorithms for global optimization
    G. Liuzzi
    S. Lucidi
    V. Piccialli
    Computational Optimization and Applications, 2016, 65 : 449 - 475
  • [5] Exploiting derivative-free local searches in DIRECT-type algorithms for global optimization
    Liuzzi, G.
    Lucidi, S.
    Piccialli, V.
    COMPUTATIONAL OPTIMIZATION AND APPLICATIONS, 2016, 65 (02) : 449 - 475
  • [6] Branch-and-Model: a derivative-free global optimization algorithm
    Ma, Kaiwen
    Rios, Luis Miguel
    Bhosekar, Atharv
    Sahinidis, Nikolaos V.
    Rajagopalan, Sreekanth
    COMPUTATIONAL OPTIMIZATION AND APPLICATIONS, 2023, 85 (02) : 337 - 367
  • [7] Branch-and-Model: a derivative-free global optimization algorithm
    Kaiwen Ma
    Luis Miguel Rios
    Atharv Bhosekar
    Nikolaos V. Sahinidis
    Sreekanth Rajagopalan
    Computational Optimization and Applications, 2023, 85 : 337 - 367
  • [8] A DIRECT-type approach for derivative-free constrained global optimization
    G. Di Pillo
    G. Liuzzi
    S. Lucidi
    V. Piccialli
    F. Rinaldi
    Computational Optimization and Applications, 2016, 65 : 361 - 397
  • [9] A DIRECT-type approach for derivative-free constrained global optimization
    Di Pillo, G.
    Liuzzi, G.
    Lucidi, S.
    Piccialli, V.
    Rinaldi, F.
    COMPUTATIONAL OPTIMIZATION AND APPLICATIONS, 2016, 65 (02) : 361 - 397
  • [10] Lipschitz-inspired HALRECT algorithm for derivative-free global optimization
    Linas Stripinis
    Remigijus Paulavičius
    Journal of Global Optimization, 2024, 88 : 139 - 169