| 1 |
Continuous Time Scheduling of Gasoline Production and Distribution with a Remarkable Formulation Size Reduction using Extended Graphical Genetic Algorithm
Bayu F, Panda D, Ramteke M
Chemical Engineering Research & Design, 164, 385, 2020 |
| 2 |
Active training sample selection and updating strategy for near-infrared model with an industrial application
He KX, Wang K, Yan YY
Chinese Journal of Chemical Engineering, 27(11), 2749, 2019 |
| 3 |
Supply-demand pinch based methodology for multi-period planning under uncertainty in components qualities with application to gasoline blend planning
Jalanko M, Mahalec V
Computers & Chemical Engineering, 119, 425, 2018 |
| 4 |
SuperButol(TM) - A novel high-octane gasoline blending component
Kalamaras C, Shaik K, Kalghatgi G, Babiker H, Alsamah A, McLeary D, Xu W
Fuel, 195, 165, 2017 |
| 5 |
Integrated Gasoline Blending and Order Delivery Operations: Part I. Short-Term Scheduling and Global Optimization for Single and Multi-Period Operations
Li J, Xiao X, Floudas CA
AIChE Journal, 62(6), 2043, 2016 |
| 6 |
Inventory pinch gasoline blend scheduling algorithm combining discrete-and continuous-time models
Castillo-Castillo PA, Mahalec V
Computers & Chemical Engineering, 84, 611, 2016 |
| 7 |
Wood sulphate turpentine as a gasoline bio-component
Knuuttila P
Fuel, 104, 101, 2013 |
| 8 |
A bio-inspired algorithm based on membrane computing and its application to gasoline blending scheduling
Zhao JH, Wang N
Computers & Chemical Engineering, 35(2), 272, 2011 |
| 9 |
Optimization of short-time gasoline blending scheduling problem with a DNA based hybrid genetic algorithm
Chen XA, Wang N
Chemical Engineering and Processing, 49(10), 1076, 2010 |
| 10 |
Blending scheduling under uncertainty based on particle swarm optimization algorithm
Zhao XQ, Rong G
Chinese Journal of Chemical Engineering, 13(4), 535, 2005 |
