Design optimization of an artificial lateral line system incorporating flow and sensor uncertainties-Reference-Cited by-同舟云学术

Design optimization of an artificial lateral line system incorporating flow and sensor uncertainties

Published:2016-04-13 Issue:2 Volume:49 Page:328-344
ISSN:0305-215X
Container-title:Engineering Optimization
language:en
Short-container-title:Engineering Optimization

Author:

Ahrari Ali¹,Lei Hong²,Sharif Montassar Aidi²,Deb Kalyanmoy²,Tan Xiaobo²

Affiliation:

1. Department of Mechanical Engineering, College of Engineering, Michigan State University, East Lansing, MI, USA

2. Department of Electrical and Computer Engineering, College of Engineering, Michigan State University, East Lansing, MI, USA

Funder

Office of Naval Research

National Science Foundation under Cooperative Agreement

Publisher

Informa UK Limited

Subject

Applied Mathematics,Industrial and Manufacturing Engineering,Management Science and Operations Research,Control and Optimization,Computer Science Applications

Link

https://www.tandfonline.com/doi/pdf/10.1080/0305215X.2016.1168108

Reference35 articles.

1. Abdulsadda, A. T., and X. Tan. 2011. “Underwater Source Localization Using an IPMC-Based Artificial Lateral Line.” Proc. of 2011 IEEE International Conference on Robotics and Automation. Shanghai, China. 2719–2724.

2. An artificial lateral line system using IPMC sensor arrays

3. Nonlinear estimation-based dipole source localization for artificial lateral line systems

4. Ahrari, A., H. Lei, M. A. Sharif, K. Deb, and X. Tan. 2015. “Design Optimization of Artificial Lateral Line System Under Uncertain Conditions.” Proc. of IEEE congress on Evolutionary Computation (CEC 2015). Sendai, Japan, (to appear): IEEE.

5. Auger, A., S. Finck, N. Hansen, and R. Ros. 2010. BBOB 2009: Comparison Tables of all Algorithms on all Noisy Functions. Technical Report, RT-0384, INRIA.

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