[1] E F CAMPANA, M DIEZ, U IEMMA et al. Derivative-free global ship design optimization using global/local hybridization of the DIRECT algorithm. Optimization and Engineering, 17, 127-156(2016).

[2] S JEONG, H KIM. Development of an efficient hull form design exploration framework. Mathematical Problems in Engineering, 2013, 838354(2013).

[3] H C CHANG, X D CHENG, Z Y LIU et al. Sample selection method for ship resistance performance optimization based on approximated model. Journal of Ship Research, 60, 1-13(2016).

[4] N DEMO, M TEZZELE, A MOLA et al. Hull shape design optimization with parameter space and model reductions, and self-learning mesh morphing. Journal of Marine Science and Engineering, 9, 185(2021).

[5] M BAKHTIARI, H GHASSEMI. CFD data based neural network functions for predicting hydrodynamic performance of a low-pitch marine cycloidal propeller. Applied Ocean Research, 94, 101981(2020).

[6] G GUAN, Z M ZHUANG, Q YANG et al. Design parameter sensitivity analysis for SWATH with minimum resistance at design and service speeds. Ocean Engineering, 240, 109961(2021).

[7] Q ZHENG, B W FENG, Z Y LIU et al. Application of improved particle swarm optimisation algorithm in hull form optimisation. Journal of Marine Science and Engineering, 9, 955(2021).

[8] A GUHA, J FALZARANOA. Application of multi objective genetic algorithm in ship hull optimization. Ocean Systems Engineering, 5, 91-107(2015).

[9] F X HUANG, L J WANG, C YANG. A new improved artificial bee colony algorithm for ship hull form optimization. Engineering Optimization, 48, 672-686(2016).

[10] Q ZHENG, B W FENG, Z Y LIU et al. Optimization method for hierarchical space reduction method and its application in hull form optimization. Ocean Engineering, 262, 112108(2022).

[11] L V SANTANA-QUINTERO, A G HERNÁNDEZ-DÍAZ, J MOLINA et al. DEMORS: a hybrid multi-objective optimization algorithm using differential evolution and rough set theory for constrained problems. Computers & Operations Research, 37, 470-480(2010).

[13] K ITO, I COUCKUYT, R D’IPPOLITO et al. Design space exploration using self-organizing map based adaptive sampling. Applied Soft Computing, 43, 337-346(2016).

[18] S K JEONG, S OBAYASHI. Multi-objective optimization using Kriging model and data mining. International Journal of Aeronautical and Space Sciences, 7, 1-12(2006).

[19] PARASHAR S, PEDIRODA V, POLONI C. Self ganizing maps (SOM) f design ion in robust multiobjective design of aerofoil[C]Proceedings of the 46th AIAA Aerospace Sciences Meeting Exhibit. Reno: AIAA, 2008: 914.

[21] Q ZHENG, H C CHANG, B W FENG et al. Research on knowledge-extraction technology in optimisation of ship-resistance performance. Ocean Engineering, 179, 325-336(2019).

[22] T KOHONEN. The self-organizing map. Proceedings of the IEEE, 78, 1464-1480(1990).

[23] T KOHONEN, E OJA, O SIMULA et al. Engineering applications of the self-organizing map. Proceedings of the IEEE, 84, 1358-1384(1996).

[24] MACQUEEN J. Some methods f classification analysis of multivariate observations[C]Proceedings of the Fifth Berkeley Symposium on Mathematical Statistics Probability. [s.n.]:[s.n.],1965: 281−297.