Proceedings of the 2017 5th International Conference on Machinery, Materials and Computing Technology (ICMMCT 2017)

The Program Verification of the Three-Seeking and Six-Seeking Method Based on the Conjugate Direction

Authors
Chunming Li, Xiaohua Zhang, XiaoLi Yin
Corresponding Author
Chunming Li
Available Online April 2017.
DOI
10.2991/icmmct-17.2017.23How to use a DOI?
Keywords
Optimal Design Optimization Method, Conjugate Direction, Seven-seeking Method, Three-seeking Method, Program Verification
Abstract

Conjugate direction is a better direction of optimization. The three-seeking method and the six-seeking method based on conjugate direction have strong theoretical. Using the advantages of one-dimensional blind walking optimization algorithm, the optimal point was given on the given direction. Three optimization method, six optimization method and computer program for the blind walking algorithm for 3D design space were put forward. The given programs were of universal significance. The results show that the three-seeking method and the six-seeking method have better performance than the negative gradient method.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2017 5th International Conference on Machinery, Materials and Computing Technology (ICMMCT 2017)
Series
Advances in Engineering Research
Publication Date
April 2017
ISBN
978-94-6252-318-0
ISSN
2352-5401
DOI
10.2991/icmmct-17.2017.23How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Chunming Li
AU  - Xiaohua Zhang
AU  - XiaoLi Yin
PY  - 2017/04
DA  - 2017/04
TI  - The Program Verification of the Three-Seeking and Six-Seeking Method Based on the Conjugate Direction
BT  - Proceedings of the 2017 5th International Conference on Machinery, Materials and Computing Technology (ICMMCT 2017)
PB  - Atlantis Press
SP  - 109
EP  - 114
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmmct-17.2017.23
DO  - 10.2991/icmmct-17.2017.23
ID  - Li2017/04
ER  -