A hybrid improved moth-flame optimization with differential evolution with global and local neighborhoods algorithm for pose optimization on a space manipulator-Reference-Cited by-同舟云学术

A hybrid improved moth-flame optimization with differential evolution with global and local neighborhoods algorithm for pose optimization on a space manipulator

Published:2019-09-19 Issue:12 Volume:30 Page:125012
ISSN:0957-0233
Container-title:Measurement Science and Technology
language:
Short-container-title:Meas. Sci. Technol.

Author:

Li Yaru^ORCID,Wang Zhongyu,Cheng Yinbao,Tang Yingqi,Shang Zhendong

Funder

Special Scientific Research on Civil Aircraft of Ministry of Industry and Information Technology of China

Beijing Natural Science Foundation

Sichuan Province Key Research and Development Plan of China

Publisher

IOP Publishing

Subject

Applied Mathematics,Instrumentation,Engineering (miscellaneous)

Link

http://iopscience.iop.org/article/10.1088/1361-6501/ab2fa6/pdf

Reference30 articles.

1. Solid-state lighting for the International Space Station: Tests of visual performance and melatonin regulation

2. Constrained mechanical systems modeling and control: A free-floating space manipulator case as a multi-constrained system

3. Optimal target grasping of a flexible space manipulator for a class of objectives

4. Optimization design of non-coplanar target for pose measurement with monocular vision system

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