H
Huan Jin
Researcher at The University of Nottingham Ningbo China
Publications - 19
Citations - 126
Huan Jin is an academic researcher from The University of Nottingham Ningbo China. The author has contributed to research in topics: Computer science & Medicine. The author has an hindex of 3, co-authored 14 publications receiving 47 citations. Previous affiliations of Huan Jin include Massachusetts Institute of Technology & University of Iowa.
Papers
More filters
Journal ArticleDOI
Exploring network effects of point-to-point networks: An investigation of the spatial patterns of Southwest Airlines’ network
TL;DR: Examining the spatial patterns of Southwest airlines' route network during Southwest's major network expansionary period for completing continental US geographic coverage between 1990 and 2006 helps predict how emerging LCC networks in other large aviation market, such as China, are likely to be developed over time if regulators give carriers reasonable freedom to develop their service network efficiently.
Journal ArticleDOI
Integer programming techniques for makespan minimizing workforce assignment models that recognize human learning
TL;DR: The techniques can be adapted to speed up the solution of most any makespan minimizing workforce assignment problem, and that large instances can be solved much faster than have previously been solved in the literature.
Journal ArticleDOI
Modeling biohydrogen production using different data driven approaches
Yixiao Wang,Mingzhu Tang,Jiangang Ling,Yunshan Wang,Yiyang Liu,Huan Jin,Jun He,Yong Sun,Yong Sun +8 more
TL;DR: In this paper, three modeling techniques namely multilayer perceptron artificial neural network (MLPANN), microbial kinetic with Levenberg-Marquardt algorithm (MKLMA) developed from microbial growth, and the response surface methodology (RSM) were used to investigate the biohydrogen (BioH2) process.
Posted Content
Analytics and Machine Learning in Vehicle Routing Research.
Ruibin Bai,Xinan Chen,Zhi-Long Chen,Tianxiang Cui,Shuhui Gong,Wentao He,Xiaoping Jiang,Huan Jin,Jiahuan Jin,Graham Kendall,Jiawei Li,Zheng Lu,Jianfeng Ren,Paul Weng,Ning Xue,Huayan Zhang +15 more
TL;DR: In this article, the authors present a comprehensive review of hybrid methods that combine analytical techniques with ML tools in addressing VRP problems, and conclude that ML can be beneficial in enhancing VRP modelling, and improving the performance of algorithms for both online and offline VRP optimisations.
Journal ArticleDOI
Workforce grouping and assignment with learning-by-doing and knowledge transfer
TL;DR: A workforce allocation problem in which workers learn both by performing a job and by observing the performance of and interacting with co-located colleagues is considered, which can benefit from both effectively assigning individuals to jobs and grouping workers into teams.