Bingzhen Chen
Tsinghua University
50 Papers
248 Citations
Bingzhen Chen is an academic researcher from Tsinghua University. The author has contributed to research in topics: Stochastic programming & Chemical process. The author has an hindex of 10, co-authored 50 publications.
Chat about Author
Papers
A study of the LCA based biofuel supply chain multi-objective optimization model with multi-conversion paths in China
TL;DR: In this paper, the authors presented a life cycle assessment (LCA) based biofuel supply chain model with multi-conversion pathways, which was formulated as a mixed integer linear programming (MILP) problem which took economic, energy, and environmental criteria (3E) into consideration.
88
The real-time estimation of hazardous gas dispersion by the integration of gas detectors, neural network and gas dispersion models
TL;DR: A fast prediction approach which could bypass the input parameters that are difficult to obtain and predict the released gas concentration at certain off-site location using parameters that could be obtained easily is developed.
78
Multi-objective optimization for the periodic operation of the naphtha pyrolysis process using a new parallel hybrid algorithm combining NSGA-II with SQP
TL;DR: A new parallel hybrid multi-objective optimization algorithm combing NSGA-II with SQP (Successive Quadratic Programming) used to improve the efficiency of the NSGA -II and the quality of the Pareto-optimal set is proposed.
75
Multidimensional non-orthogonal wavelet-sigmoid basis function neural network for dynamic process fault diagnosis
TL;DR: A new type of wavenet called multidimensional non-orthogonal non-product wavelet-sigmoid basis function neural network (WSBFN) model is proposed for dynamic fault diagnosis and a new set of heuristic learning rules is presented for determining the topology of WSBFN.
44
Process optimization with consideration of uncertainties-An overview
TL;DR: An overview of the key contributions and recent advances in the field of process optimization under uncertainty over the past ten years is provided and three specific research areas are focused on, namely robust optimization, stochastic programming and chance constrained programming.
44