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50000t油船船员舱室布局优化方法的比较研究+CAD图纸

时间:2024-09-02 21:43来源:97062
使用博弈论、模糊层次分析法和遗传算法对某型油船的船员舱室的布局后,我们可以寻找到他们的联系、差异和各自的优缺点。

摘要:在经济全球化的大背景下,船舶制造业得到了蓬勃的的发展,而船舶制造也在由注重船舶功能向注重船舶整体性转变。本文旨在优化50000t级油船船员舱室的布局,以3/E舱室为示例,分别用博弈论、模糊层次分析法和遗传算法对其进行的优化,并对三种方法进行了比较研究。三种方法的侧重点不同,优化过程亦存在不同。博弈论采用统计单项得分,最后求和的办法进行方案比较;模糊层次分析法则是基于专家评分计算权重,比较最后的得分的办法;遗传算法则是以MATLAB为计算平台,以适应度函数为核心对方案进行迭代演化,最后得出适应度最高的方案。

关键词:舱室布局;博弈论;模糊层次分析法;遗传算法;优化

Abstract:In the context of economic globalization, the shipbuilding industry has been vigorous development, and shipbuilding is also from the focus on the ship to focus on the overall changes in the ship. The purpose of this paper is to optimize the layout of the crew cabin of 50000 t oil tanker. Taking the 3 / E compartment as an example, this paper uses game theory, fuzzy analytic hierarchy process and genetic algorithm to optimize it, and compares the three methods. The focus of the three methods is different, the optimization process is also different. The fuzzy analytic hierarchy process (AHP) is based on the expert score and the final score. The genetic algorithm is based on MATLAB and the fitness function is the core of the fitness function. The iterative evolution of the program, and finally come to the highest degree of fitness program. In this paper, the oil tanker cabin optimization is the main line, and the three methods are optimized respectively. Finally, the three methods and their schemes are compared respectively.

Keyword:Cabin layout; game theory; fuzzy analytic hierarchy process;  genetic algorithm; optimization

第一章绪论 1

1.1研究背景 1

1.2国内外研究现状 1

1.3目的及意义 2

1.4本文的创新点 2

1.5技术路线 3

第二章博弈论对油船船员舱室进行优化 4

2.1博弈论的发展及现状 4

2.2博弈论在油船船员舱室布局优化中的应用 5

2.3使用博弈论对船员舱室进行优化 5

2.4小结 14

第三章FHAP法对油船船员舱室进行优化 15

3.1模糊层次分析法的发展及研究现状 15

3.2FAHP法在油船船员舱室布局的应用 15

3.3使用FAHP法对船员舱室进行优化 15

3.3.1油船船员舱室布局评价指标体系的构建 16

3.3.2油船船员递阶层次结构模型的建立 18

3.3.3各层次指标权重的确定 18

3.3.4指标合成权重的确定 21

3.3.5针对油船船员舱室布局的模糊综合评价分析 22

3.4小结 28

第四章遗传算法在油船船员舱室的优化 30

4.1遗传算法的发展及研究现状 30

50000t油船船员舱室布局优化方法的比较研究+CAD图纸:http://www.youerw.com/jixie/lunwen_204644.html
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