Proceedings of the 2nd International Conference on Software Engineering, Knowledge Engineering and Information Engineering (SEKEIE 2014)

Multidisciplinary Collaborative Optimization Design for Oil Tanker Concept Design

Authors
Song Du, Yan Lin
Corresponding Author
Song Du
Available Online March 2014.
DOI
10.2991/sekeie-14.2014.15How to use a DOI?
Keywords
Multidisciplinary design optimization; concept design; collaborative optimization; oil tanker; EEDI
Abstract

The idea of multidisciplinary design optimization is applied to the solution of the optimization design of oil tankers. The multidisciplinary design optimization model is established according to the multi-objective and multi-constraints characteristics of the design of oil tanker. The optimization model is solved by using the collaborative optimization algorithm, and its solution is completed. The numerical results indicate that the collaborative optimization can be successfully applied to dealing with the efficiency of the optimization design as well as the problems of an oil tanker, which lays a foundation to solve more complex engineering systems.

Copyright
© 2014, 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 2nd International Conference on Software Engineering, Knowledge Engineering and Information Engineering (SEKEIE 2014)
Series
Advances in Intelligent Systems Research
Publication Date
March 2014
ISBN
10.2991/sekeie-14.2014.15
ISSN
1951-6851
DOI
10.2991/sekeie-14.2014.15How to use a DOI?
Copyright
© 2014, 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  - Song Du
AU  - Yan Lin
PY  - 2014/03
DA  - 2014/03
TI  - Multidisciplinary Collaborative Optimization Design for Oil Tanker Concept Design
BT  - Proceedings of the 2nd International Conference on Software Engineering, Knowledge Engineering and Information Engineering (SEKEIE 2014)
PB  - Atlantis Press
SP  - 66
EP  - 69
SN  - 1951-6851
UR  - https://doi.org/10.2991/sekeie-14.2014.15
DO  - 10.2991/sekeie-14.2014.15
ID  - Du2014/03
ER  -