Multi-objective optimization of semi-submersible platforms using particle swam optimization algorithm based on surrogate model-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Multi-objective optimization of semi-submersible platforms using particle swam optimization algorithm based on surrogate model

Published:2019-04 Issue: Volume:178 Page:388-409
ISSN:0029-8018
Container-title:Ocean Engineering
language:en
Short-container-title:Ocean Engineering

Author:

Qiu Wenzhen,Song Xingyu,Shi Kaiyuan,Zhang Xinshu,Yuan Zhiming,You Yunxiang

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Ocean Engineering,Environmental Engineering

Reference25 articles.

1. Optimal design of semisubmersible's form based on systems analysis;Akagi;J. Mechanisms, Transmissions, and Automation in Design,1984

2. Design of experiments;Anderson;Concise Encyclopedia of Statistics,1970

3. Recommended Practice for Design and Analysis of Stationkeeping Systems for Floating Structures;API RP 2SK,2005

4. Recommended Practice for Planning, Design and Constructoing Tension Leg Platforms;API RP 2T,1997

5. A Surrogate-Model-Based Method for Constrained Optimization;Audet,2000

Cited by 17 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Parameter analysis and dual-objective optimization of the hydraulic power take-off system of a floating wind-wave hybrid system;Ocean Engineering;2024-09

2. A Scoping Review on Simulation-Based Design Optimization in Marine Engineering: Trends, Best Practices, and Gaps;Archives of Computational Methods in Engineering;2024-05-15

3. Multi-objective optimization decision-making of an underwater vehicle rotary docking skirt structure;Thin-Walled Structures;2023-11

4. Application of an improved maximum entropy sampling method in hull form optimization;Ocean Engineering;2023-02

5. Enhancing the offshore conceptual design delivery pace using deep neural networks: a response surface of the dynamic model of a semi-submersible offshore platform in the frequency domain;Rio Oil and Gas Expo and Conference;2022-09-26

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3