喜欢数学,喜欢数学所遵循的那种逻辑严谨性与抽象统一性的美。有幸窥见了优化领域这座大冰山的一丁点小角,畅想能够从优化的角度将控制、运筹、机器学习等诸多领域统一在一起,正如Euler所说“宇宙是最完美也是最聪明造物主的产物,其万物都遵循某种最大或最小的准则”。理想总是很美好的,而现实却是骨感的。目前,只在如下罗列的几个方向做了一丁点工作。另外,我仍然很迷恋技术,尤其是IT技术,喜欢学习以及动手本身所带来的乐趣。
我出生在安徽省怀宁县的一个小山村。像八十年代大多数农村小孩一样,听从父母及老师的教诲——读书是走出农村唯一的出路,我按部就班地从小学读到初中、高中,并顺利进入长安大学(当时还称为西安公路交通大学)的筑路机械系,专业是机械制造及其自动化,在那里我度过了无忧无虑的四年。大学毕业后,我选择了工作,先后涉足了机械设计、网站开发、智能楼宇等不同的行业,直到2004年考入上海交通大学读研,并于2006年转为提前攻博,师从国内预测控制领域的泰斗席裕庚教授,于2010年获得控制科学与工程学科的博士学位。同年9月份,进入了厦门大学自动化系工作至今。
喜欢数学,喜欢数学所遵循的那种逻辑严谨性与抽象统一性的美。有幸窥见了优化领域这座大冰山的一丁点小角,畅想能够从优化的角度将控制、运筹、机器学习等诸多领域统一在一起,正如Euler所说“宇宙是最完美也是最聪明造物主的产物,其万物都遵循某种最大或最小的准则”。理想总是很美好的,而现实却是骨感的。目前,只在如下罗列的几个方向做了一丁点工作。另外,我仍然很迷恋技术,尤其是IT技术,喜欢学习以及动手本身所带来的乐趣。
尽管我个人对于每篇文章都认真对待,投入了很多时间与精力,从不弄虚作假,有一说一,但对于很多人来说,大部分文章仍然是垃圾。如果偶尔你觉得哪篇文章对你有所启发,那真是对我莫大的慰藉。
以下是部分文章,完整的文章列表请按这里或者转至我的Google学术和我的baidu学术 。
摘要:Physics-informed neural networks (PINNs) are applied to facilitate incompressible two-phase bubble motion modeling by integrating governing equations and interface evolution equations. The loss function of PINNs consists of multiple loss terms, including initial and boundary conditions constraints, partial differential equations residuals, and volume fraction constraints. The performance of PINNs is influenced by the competing effects of these loss terms. Therefore, we introduce a heuristic adaptive weights approach to automatically adjust loss weights for each training point, avoiding manual tuning and improving the accuracy of PINNs. We investigate typical bubble motion cases, specifically focusing on bubble rising and breakup, to showcase the capabilities of the proposed method. We explore the impact of weights and present the results in comparison to the baselines...
摘要:We consider a novel variant of the three-dimensional bin packing problem (3DBPP) arising from a maritime shipping port. Unlike the classical bin packing problem, our 3DBPP requires all items to be stacked vertically during the packing process. To tackle this problem effectively, we divide it into two subproblems: the stack packing problem (SPP) and the two-dimensional bin packing problem (2DBPP). We first formulate the SPP as an integer programming model to minimize the total bottom area of the stacks, which is further solved by a branch-and-price method. Then, in the 2DBPP, to pack all stacks into a minimum number of bins, we follow the left-down most extreme point placement strategy. An encoder–decoder model was developed to optimize the packing sequence and orientation of the stacks simultaneously. Industrial instances from shipping ports were collected and extended. The computational results show that our two-stage algorithm performs well in solving the stacking-constrained 3DBPP.
摘要:Abstract: We revisit the classical online scheduling problem on parallel machines for minimizing total weighted completion time. In the problem, a set of independent jobs arriving online over time has to be scheduled on identical machines, where the information of each job including its processing time and weight is not known in advance. The goal is to minimize the total weighted completion time of the jobs. For this problem, we propose an improved 2: 11-competitive online algorithm based on a kind of waiting strategy.
C语言程序设计 ,院系大类通修,本科一年级,春季学期
最优化方法,专业必选,研究生,秋季学期
高等运筹学 ,专业必选,研究生,秋季学期(暂停)
电工技术 ,院系大类通修,本科一年级,春季学期(暂停)
离散事件系统仿真 ,院系选修,本科三四年级,春季学期(暂停)
Arena仿真应用入门 ,院系选修,本科三四年级,小学期(暂停)
整数规划理论、算法与应用 ,院系选修,研究生,秋季学期(暂停)
中国运筹学会会员
中国计算机学会会员
中国人工智能学会会员
厦门市系统工程学会会员
目前我每年可以招收1-2名硕士生。对待研究生,我的基本要求是工作勤奋、积极主动、乐观向上。在科研上,我会给予你很大的自由度,你可以根据自己的兴趣选择合适的研究方向,当然鼓励选择与 我的研究 相似或接近的方向,如果你只对其它的方向感兴趣,我也会给予尽可能的支持与帮助。总之,我希望你在三年的读研期间内,能踏踏实实地做事,阳光快乐地生活,等到毕业之时,能问心无愧,同时能感受到自己在为人处事、科研学业上有所收获。
如有任何其它疑问,请给我发信taojiping@xmu.edu.cn。
@陶继平