[4] JIANG X N, LIN Y. Relevant integrals of NURBS and its application in hull line element design[J]. Ocean Engineering, 251, 111147(2022).

[5] LIN Y, XU X A, YE C. Adaptive stochastic resonance quantified by a novel evaluation index for rotating machinery fault diagnosis[J]. Measurement, 184, 109920(2021).

[9] [9] HOLL J N. Adaptation in natural artificial systems [M]. Cambridge: MIT Press, 1975.

[11] DONG Z R, LIN Y. Ship pipe routing method based on genetic algorithm and cooperative coevolution[J]. Journal of Ship Production and Design, 33, 122-134(2017).

[13] [13] POTTER M. The design analysis of a computational model of cooperative coevolution[D]. Virginia: Gege Mason University, 1997.

[17] WANG Y L, WEI H, ZHANG X et al. Optimal design of ship branch pipe route by a cooperative co-evolutionary improved particle swarm genetic algorithm[J]. Marine Technology Society Journal, 55, 116-128(2021).

[18] WANG Y L, YU Y Y, LI K et al. A human-computer cooperation improved ant colony optimization for ship pipe route design[J]. Ocean Engineering, 150, 12-20(2018).

[20] [20] WANG C T, SUN L L, SUN X T, et al. A method based on PSO f pipe routing design[C]2016 IEEE International Conference on Cyber Technology in Automation, Control, Intelligent Systems (CYBER). Chengdu, China: IEEE, 2016: 422427.

[21] DONG Z R, LIN Y. A particle swarm optimization based approach for ship pipe route design[J]. International Shipbuilding Progress, 63, 59-84(2017).