Research on facility layout optimization algorithm of deep-water semi-submersible drilling platform

被引：0
|
作者：
Hongyan Wang
Wensheng Xiao
Lei Wu
Keke Wei
Congcong Xu
Chao Hou
Junguo Cui
Jie Li
机构：
[1] Qingdao University of Science & Technology,College of Electromechanical Engineering
[2] China University of Petroleum,College of Mechanical and Electronic Engineering
[3] Shanghai Zhenhua Heavy Industries Co. Ltd.,undefined
[4] Petrochina Pipeline R&D Center,undefined
[5] Beijing Zongheng Electro-Mechanical Technology Development Co.,undefined
[6] COOEC International Engineering Co.,undefined
[7] Ltd.,undefined
来源：
Journal of Mechanical Science and Technology | 2019年 / 33卷
关键词：
Layout design; Drilling platform; Boltzmann survival mechanism; Genetic algorithm;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
We aimed to create a facility layout design of semi-submersible drilling platform (DSDP) with performance constraints. The Boltzmann survival mechanism of simulated annealing algorithm was introduced into the replacement strategy of genetic algorithm to form an improved genetic algorithm called genetic and simulated annealing algorithm (GASA). The new algorithm alleviates the “combination explosion” and premature convergence of the traditional genetic algorithm. The layout problem of DSDP is efficiently solved by using this new algorithm. When the number of layout objects increases, GASA’s performance is better than that of the genetic algorithm.
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页码：669 / 675
页数：6
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