美赛数模评审规则要求

关于美国MCM/ICM评阅规则和要求

1.评阅标准

美国MCM/ICM的评阅主要关心的是参赛论文的解题思路和建模过程，以及是否给出了清晰的描述，并着重检查参赛论文的以下几点：

（1）是否对赛题给出了满意的解读方法，并对赛题中可能出现的模糊概念给予了必要的澄清和说明；

（2）是否明确列出了建模用到的所有前提条件及假设，并对其合理性给出了满意的解释或论证；

（3）是否通过对赛题的分析给出了建模的动机或论证了建模的合理性；

（4）是否设计出了能有效地解决赛题的数学模型；

（5）是否对模型给出了稳定性的检验；

（6）是否讨论了模型的优缺点，并给出了清晰的结论；

（7）是否给出了圆满准确的摘要。

注意，对于没有全部完成解答的论文，如果在某些方面有创新，或有独到之处，不但是可接受的，而且仍然可以获得较好的评审结果。

2.评阅等级划分

对于参赛论文，如果没有按要求讨论竞赛题所要求解决的问题，或违反了竞赛规则，则会被定为不合格论文(Unsuccessful Participants) 。其余参赛论文根据评审标准按质量分为5 个等级，由低到高分别为

（1）合格论文(Successful Participants)，或成功参赛奖，又称为三等奖；

（2）乙级论文(Honorable Mention)，或称优秀奖，又称为二等奖；

（3）甲级论文(Meritorious)，或称优异奖，又称为一等奖；

（4）特级提名论文(Finalist)，或称为特等提名奖；

（5）特级论文(Outstanding Winner) ，或称为优胜奖，又称为特等奖。

任何参赛论文只要对赛题进行了适当的讨论，没有违反竞赛规则，就是合格论文。只有建模和论文写作都是最优秀的论文才可能被评为特级论文。每个级别的论文所占的百分比如下：

?合格论文：大约占50%左右。

?乙级论文：大约占30%左右。

?甲级论文：大约占10%到15%左右。

?特级提名论文：大约占1%左右。

?特级论文：大约占1% 左右。

除了给论文评级外，MCM/ICM 竞赛还设有INFORMS 奖、SIAM 奖、MAA 奖及Ben Fusaro 奖等4 个奖项，奖励最优秀的参赛论文。

INFORMS 奖是由美国运筹及管理学协会(the Institute for Operations Research and the Management Sciences) 设立的。评审委员会在解答A 题、B 题及C 题的特级论文中各选一篇(或者不选) 授予INFORMS 奖。

SIAM 奖是由美国工业与应用数学学会会(the Society for Industrial and Applied Mathematics) 设立的。评审委员会在解答A 题、B 题及C 题的特级论文中各选一篇(或者不选) 授予SIAM 奖。

MAA 奖是由美国数学会(the Mathematical Association of America) 设立的。评审委员会在解答A 题及 B 题的特级论文中各选一篇论文授予MAA 奖。

Ben Fusaro 奖是由COMAP 设立的。评审委员会通常在特级提名论文中选出一篇具有特殊创意和独特见解的论文授予Ben Fusaro 奖。

3.参赛论文的评审流程

论文评审的方式是盲评，通常在竞赛结束三个星期后的第一个周末进行。所有参赛论文均用唯一给定的控制编号(Control Number)统一识别。论文的作者姓名及其所在大学的名称均不得在论文中出现。参赛论文的评审分为两个阶段：

第一阶段（triage judging），也称为鉴别评审阶段。

每篇论文在此阶段中按质量分为以下三类：

第一类是可以进入下一阶段评审的论文；

第二类是满足竞赛要求，但却不足以进入下一阶段评审的论文，这类论文为合格论文；

第三类是不符合竞赛要求的论文，这类论文为不合格论文。

在鉴别评审阶段中，评审委员会设有一名主审专家及若干名评委专家。每名评委负责评审大约25 篇左右的参赛论文，每篇参赛论文一般由两名评委独立评审并打分。如果两个分数相差太远，则首先由这两名评委协商统一意见，如果意见无法统一，则增加第三名评委再评审。当该篇论文获得两个比较一致的分数时，这两个分数的和就是该篇论文在鉴别评审阶段的得分。最后由主审和竞赛主席共同商定进入第二阶段评审的分数线，使只有略少于参赛总数一半的参赛论文能进入第二阶段的评审。

在鉴别评审阶段中，一般要求每位评委平均只有10分钟左右的时间评审一篇论文，因此评委通常只能靠阅读论文的摘要判断论文水平的高低。所以，从论文能否通过第一阶段评审的角度看，论文摘要是论文最重要的部分。在通过第一阶段的评审后，将进入第二阶段评审的参赛论文按所用的建模方法分为离散数学和连续数学两个大类，分别进入第二阶段的评审。

第二阶段（final judging），也称为终审阶段。

第二阶段的评审又分成若干轮，通过的评审轮数越多，参赛论文评定的级别将越高。在进入下一轮评审之前，每篇参赛论文都将经过多名评委的评阅。一般每名评委将会用15 到30分钟的时间评审一篇论文。因此，为了能在这样短的时间内给评委留下深刻的印象，要求参赛论文的写作必须结构严谨、条理清晰、简单易读，同时将主要结果以最明显的方式表达出来。

在第二阶段评审的最后一轮，将由所有评委共同讨论产生特级论文，而且必须经过竞赛组委会主席和副主席的一致同意后才能最终确定是否评为特级论文。

数学建模经验

数学建模经验 我参加了3次“深圳杯”数模，1次全国大学生数模，以及1次全国研究生数模，2016年参加了全国研究生数模的交流会，但没有参加过美赛，应该算是一个江湖老手了吧。下面内容算是得出的一些经验。 如果你是没有太多数模论文书写经历的小白，我觉得你要找一篇优秀论文对照下面的内容好好看一下。如果你是高手的话，就作为交流吧。 一、问题分析 1.假设的必要性。任何理论或者问题都是以必要的假设为前提的。假设可以使你考虑的问题变得简单，降低难度。只要假设是合理的，别人一般都会认同。另外，你的假设也表明你考虑问题比较周全。 2.问题的分析。这个太重要！你需要反复仔细的理解每一个小问题让你考虑什么，解决什么问题。其实，每一个小问题的内容里都对应着评卷的得分点！ 3.数据分析。一般，数模给题目的同时也会提供一些数据。有的题目可能也会让你上网查数据。数据的话，首先是看数据元素之间的关联性；然后，数据有没有缺失，缺失数据如何处理，数据里有没有噪声（噪声需不需要处理），数据里的元素需不需要做归一化（这个归一化非常重要）。 二、论文书写 数学建模的论文一般分为以下几个部分：[背景概述]（可选）、问题重述、模型假设、符号说明、问题分析、模型建立与求解、模型的总结与改进、参考文献、附录。 举个栗子，可以这样安排结构： 摘要 关键字 一、问题重述 二、模型假设 三、符号说明 四、问题1的分析及模型建立与求解 4.1 问题分析 这里，需要强调，很多人觉得问题分析就是把后面要建立的模型直接说一遍，但不是这样的！这个部分应该是当你刚刚拿到题，你分析问题的切入点是什么，使用哪些信息，大概用什么方法。即是：问题的主要矛盾+大概思路。 4.2 模型建立与求解

数学建模美赛o奖论文

For office use only T1________________ T2________________ T3________________ T4________________ Team Control Number 55069 Problem Chosen A For office use only F1________________ F2________________ F3________________ F4________________ 2017 MCM/ICM Summary Sheet The Rehabilitation of the Kariba Dam Recently, the Institute of Risk Management of South Africa has just warned that the Kariba dam is in desperate need of rehabilitation, otherwise the whole dam would collapse, putting 3.5 million people at risk. Aimed to look for the best strategy with the three options listed to maintain the dam, we employ AHP model to filter factors and determine two most influential criteria, including potential costs and benefits. With the weight of each criterion worked out, our model demonstrates that option 3is the optimal choice. According to our choice, we are required to offer the recommendation as to the number and placement of the new dams. Regarding it as a set covering problem, we develop a multi-objective optimization model to minimize the number of smaller dams while improving the water resources management capacity. Applying TOPSIS evaluation method to get the demand of the electricity and water, we solve this problem with genetic algorithm and get an approximate optimal solution with 12 smaller dams and determine the location of them. Taking the strategy for modulating the water flow into account, we construct a joint operation of dam system to simulate the relationship among the smaller dams with genetic algorithm approach. We define four kinds of year based on the Kariba’s climate data of climate, namely, normal flow year, low flow year, high flow year and differential year. Finally, these statistics could help us simulate the water flow of each month in one year, then we obtain the water resources planning and modulating strategy. The sensitivity analysis of our model has pointed out that small alteration in our constraints (including removing an important city of the countries and changing the measurement of the economic development index etc.) affects the location of some of our dams slightly while the number of dams remains the same. Also we find that the output coefficient is not an important factor for joint operation of the dam system, for the reason that the discharge index and the capacity index would not change a lot with the output coefficient changing.

数学建模美赛2012MCM B论文

Camping along the Big Long River Summary In this paper, the problem that allows more parties entering recreation system is investigated. In order to let park managers have better arrangements on camping for parties, the problem is divided into four sections to consider. The first section is the description of the process for single-party's rafting. That is, formulating a Status Transfer Equation of a party based on the state of the arriving time at any campsite. Furthermore, we analyze the encounter situations between two parties. Next we build up a simulation model according to the analysis above. Setting that there are recreation sites though the river, count the encounter times when a new party enters this recreation system, and judge whether there exists campsites available for them to station. If the times of encounter between parties are small and the campsite is available, the managers give them a good schedule and permit their rafting, or else, putting off the small interval time t until the party satisfies the conditions. Then solve the problem by the method of computer simulation. We imitate the whole process of rafting for every party, and obtain different numbers of parties, every party's schedule arrangement, travelling time, numbers of every campsite's usage, ratio of these two kinds of rafting boats, and time intervals between two parties' starting time under various numbers of campsites after several times of simulation. Hence, explore the changing law between the numbers of parties (X) and the numbers of campsites (Y) that X ascends rapidly in the first period followed by Y's increasing and the curve tends to be steady and finally looks like a S curve. In the end of our paper, we make sensitive analysis by changing parameters of simulation and evaluate the strengths and weaknesses of our model, and write a memo to river managers on the arrangements of rafting. Key words: Camping；Computer Simulation; Status Transfer Equation

当我谈数学建模时我谈些什么——美赛一等奖经验总结

前言：2012年3月28号晚，我知道了美赛成绩，一等奖（Meritorious Winner），没有太多的喜悦，只是感觉释怀，一年以来的努力总算有了回报。从国赛遗憾丢掉国奖，到美赛一等，这一路走来太多的不易，感谢我的家人、队友以及朋友的支持，没有你们，我无以为继。这篇文章在美赛结束后就已经写好了，算是对自己建模心得体会的一个总结。现在成绩尘埃落定，我也有足够的自信把它贴出来，希望能够帮到各位对数模感兴趣的同学。 欢迎大家批评指正，欢迎与我交流，这样我们才都能进步。 个人背景：我2010年入学，所在的学校是广东省一所普通大学，今年大二，学工商管理专业，没学过编程。 学校组织参加过几届美赛，之前唯一的一个一等奖是三年前拿到的，那一队的主力师兄凭借这一奖项去了北卡罗来纳大学教堂山分校，学运筹学。今年再次拿到一等奖，我创了两个校记录：一是第一个在大二拿到数模美赛一等奖，二是第一个在文科专业拿数模美赛一等奖。我的数模历程如下： 2011.4 校内赛三等奖 2011.8 通过选拔参加暑期国赛培训（学校之前不允许大一学生参加） 2011.9 国赛广东省二等奖 2011.11 电工杯三等奖 2012.2 美赛一等奖（Meritorious Winner） 动机：我参加数学建模的动机比较单纯，完全是出于兴趣。我的专业是工商管理，没有学过编程，觉得没必要学。我所感兴趣的是模型本身，它的思想，它的内涵，它的发展过程、它的适用问题等等。我希望通过学习模型，能够更好的去理解一些现象，了解其中蕴含的数学机理。数学模型中包含着一种简洁的哲学，深刻而迷人。 当然获得荣誉方面的动机可定也有，谁不想拿奖呢？ 模型：数学模型的功能大致有三种：评价、优化、预测。几乎所有模型都是围绕这三种功能来做的。比如，今年美赛A题树叶分类属于评价模型，B题漂流露营安排则属于优化模型。对于不同功能的模型有不同的方法，例如评价模型方法有层次分析、模糊综合评价、熵值法等；优化模型方法有启发式算法（模拟退火、遗传算法等）、仿真方法（蒙特卡洛、元胞自动机等）；预测模型方法有灰色预测、神经网络、马尔科夫链等。在数学中国网站上有许多关于这些方法的相关介绍与文献。 关于模型软件与书籍，这方面的文章很多，这里只做简单介绍。关于软件这三款已经足够：Matlab、SPSS、Lingo，学好一个即可（我只会用SPSS，另外两个队友会）。书籍方面，推荐三本，一本入门，一本进级，一本参考，这三本足够： 《数学模型》姜启源谢金星叶俊高等教育出版社 《数学建模方法与分析》Mark M. Meerschaert 机械工业出版社 《数学建模算法与程序》司守奎国防工业出版社 入门的《数学模型》看一遍即可，对数学模型有一个初步的认识与把握，国赛前看完这本再练习几篇文章就差不多了。另外，关于入门，韩中庚的《数学建模方法及其应用》也是不错的，两本书选一本阅读即可。如果参加美赛的话，进级的《数学建模方法与分析》要仔细研究，这本书写的非常好，可以算是所有数模书籍中最好的了，没有之一，建议大家去买一本。这本书中开篇指出的最优化模型五步方法非常不错，后面的方法介绍的动态模型与概率模型也非常到位。参考书目《数学建模算法与程序》详细的介绍了多种建模方法，适合用来理解

美赛数学建模比赛论文模板

The Keep-Right-Except-To-Pass Rule Summary As for the first question, it provides a traffic rule of keep right except to pass, requiring us to verify its effectiveness. Firstly, we define one kind of traffic rule different from the rule of the keep right in order to solve the problem clearly; then, we build a Cellular automaton model and a Nasch model by collecting massive data; next, we make full use of the numerical simulation according to several influence factors of traffic flow; At last, by lots of analysis of graph we obtain, we indicate a conclusion as follow: when vehicle density is lower than 0.15, the rule of lane speed control is more effective in terms of the factor of safe in the light traffic; when vehicle density is greater than 0.15, so the rule of keep right except passing is more effective In the heavy traffic. As for the second question, it requires us to testify that whether the conclusion we obtain in the first question is the same apply to the keep left rule. First of all, we build a stochastic multi-lane traffic model; from the view of the vehicle flow stress, we propose that the probability of moving to the right is 0.7and to the left otherwise by making full use of the Bernoulli process from the view of the ping-pong effect, the conclusion is that the choice of the changing lane is random. On the whole, the fundamental reason is the formation of the driving habit, so the conclusion is effective under the rule of keep left. As for the third question, it requires us to demonstrate the effectiveness of the result advised in the first question under the intelligent vehicle control system. Firstly, taking the speed limits into consideration, we build a microscopic traffic simulator model for traffic simulation purposes. Then, we implement a METANET model for prediction state with the use of the MPC traffic controller. Afterwards, we certify that the dynamic speed control measure can improve the traffic flow . Lastly neglecting the safe factor, combining the rule of keep right with the rule of dynamical speed control is the best solution to accelerate the traffic flow overall. Key words：Cellular automaton model Bernoulli process Microscopic traffic simulator model The MPC traffic control

数学建模美赛参考文献

数学建模美赛参考文献 Since 1982, the official publication of the teaching of mathematical modeling contest, translations and guidance materials, and related with the mathematical modeling of mathematics experiment teaching material ( only according to statistics all told ): E. A. Bender, an introduction to mathematical model, Zhu Yaochen, Xu Weixuan translation, popular science press, 1982 Kondo Jiro, Miya Eiaki, et al, mathematical model, mechanical industry press, 1985 C. L. Daimler, E. S. Ai Wei, mathematical modeling principle, Ocean Press, 1985 Jiang Qiyuan, mathematical model, higher education press, 1987 Ren Shanqiang, mathematical model, Chongqing University press, 1987 M. Braun, C. S. Coleman, D. A. Drew, the differential equation model, Zhu Yumin, Zhou yu-hun translation, National University of Defense Technology press, ( the book for the W. F.Lucas editor of the Modules in Applied Mathematics a book first volume ), 1988 Chen Anqi, mathematical model of scientific and technical engineering, China Railway Publishing House, 1988 Jiang Yuzhao, Xin Peiqing, mathematical model and computer simulation, University of Electronic Science and Technology Press, 1989 Yang Qifan, Bian Fu Ping, mathematical model, Zhejiang University press, 1990 Dong Jiali, Cao Xudong, Shim Hito, mathematical model, Beijing University of Technology press, 1990 Tang Huanwen, Feng Enmin, sun Yuxian, Sun Lihua, an introduction to the mathematics model, Dalian University of Technology press, 1990 Jiang Qiyuan, the mathematical model (the Second Edition ), higher education press, 1991 H. P. Williams, the mathematical model and computer application, National Defence Industry Press, 1991

2015数学建模美赛翻译

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美赛：13215---数模英文论文

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