当前位置: X-MOL 学术Ind. Eng. Chem. Res. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Traveling Traders’ Exchange Problem: Stochastic Modeling Framework and Two-Layer Model Identification Strategy
Industrial & Engineering Chemistry Research ( IF 4.2 ) Pub Date : 2018-05-22 , DOI: 10.1021/acs.iecr.8b00338
Chunbing Huang 1 , Patrick M. Piccione 2 , Federica Cattani 3 , Federico Galvanin 1
Affiliation  

The Traveling Traders’ Exchange Problem (TTEP) is formalized, aiming at studying the collision–exchange systems found in various research areas. As an example of the TTEP models, a 1-D model is developed and characterized in detail. The computational stochastic simulation of the 1-D TTEP model relies on a stochastic simulation algorithm implemented on the basis of the Monte Carlo method. A model identification framework is proposed where the money distribution in the system obtained from the stochastic model is characterized in terms of (a) standard deviation of the money redistribution; (b) its probability density function. Results indicate that the expressions of the estimated functions for terms (a) and (b) are tightly related to the system input conditions. The example of curve fitting on the probability density function shows how the variation of money redistribution in the system in time is driven by different values of the parameters describing the interaction mechanism.

中文翻译:

旅行商的交换问题:随机建模框架和两层模型识别策略

正式制定了旅行者交易问题(TTEP),旨在研究在各个研究领域中发现的碰撞交换系统。作为TTEP模型的示例,开发了1-D模型并对其进行了详细描述。一维TTEP模型的计算随机模拟依赖于基于蒙特卡洛方法实现的随机模拟算法。提出了一种模型识别框架,其中从随机模型获得的系统中的货币分配的特征在于:(a)货币再分配的标准差;(b)其概率密度函数。结果表明,(a)和(b)项的估计函数的表达式与系统输入条件紧密相关。
更新日期:2018-05-23
down
wechat
bug