Multi-Objective Multidisciplinary Design Optimization of a Robotic Fish System

Biomimetic robotic fish systems have attracted huge attention due to the advantages of flexibility and adaptability. They are typically complex systems that involve many disciplines. The design of robotic fish is a multi-objective multidisciplinary design optimization problem. However, the research...

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Veröffentlicht in:	Journal of marine science and engineering Jg. 9; H. 5; S. 478
Hauptverfasser:	Chen, Hao, Li, Weikun, Cui, Weicheng, Yang, Ping, Chen, Linke
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Basel MDPI AG 2021
Schlagworte:	Adaptability Algorithms artificial neural network Autonomous underwater vehicles Back propagation Back propagation networks Biomimetics Complex systems Computational fluid dynamics computational fluid dynamics (CFD) Computer applications Design Design optimization Equilibrium Finite volume method Fish Fluid dynamics Fluid flow Fluid mechanics Hydrodynamics Mathematical models multi-objective optimization Multidisciplinary design optimization Multiple objective analysis Neural networks optimal design Optimization algorithms robotic fish Robotics Robots Simulation Turbulence models
ISSN:	2077-1312, 2077-1312
Online-Zugang:	Volltext
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