Optimization of short-time gasoline blending scheduling problem with a DNA based hybrid genetic algorithm-Reference-Cited by-同舟云学术

Optimization of short-time gasoline blending scheduling problem with a DNA based hybrid genetic algorithm

Published:2010-10 Issue:10 Volume:49 Page:1076-1083
ISSN:0255-2701
Container-title:Chemical Engineering and Processing: Process Intensification
language:en
Short-container-title:Chemical Engineering and Processing: Process Intensification

Author:

Chen Xiao,Wang Ning

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Process Chemistry and Technology,Energy Engineering and Power Technology,General Chemical Engineering,General Chemistry

Reference34 articles.

1. Model-based real-time optimization of automotive gasoline blending operations;Singh;J. Process Control,2000

2. Omega: an improved gasoline blending system for Texaco;DeWitt;Interfaces,1989

3. Real-time optimization under parametric uncertainty: a probability constrained approach;Zhang;J. Process Control,2002

4. Short-term scheduling and recipe optimization of blending processes;Glismann;Comput. Chem. Eng.,2001

5. A mixed-integer linear programming model for bulk grain blending and shipping;Bilgen;Int. J. Prod. Econ.,2007

Cited by 32 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Blend Scheduling Solutions in Petroleum Refineries towards Automated Decision-Making in Industrial-like Blend-Shops;Processes;2024-03-13

2. Closed-loop scheduling optimization strategy based on particle swarm optimization with niche technology and soft sensor method of attributes-applied to gasoline blending process;Chinese Journal of Chemical Engineering;2023-09

3. Optimum Gasoline Blending in Petroleum Refining;Applied Optimization in the Petroleum Industry;2023

4. Algorithm 1027: NOMAD Version 4: Nonlinear Optimization with the MADS Algorithm;ACM Transactions on Mathematical Software;2022-09-10

5. Constrained stochastic blackbox optimization using a progressive barrier and probabilistic estimates;Mathematical Programming;2022-03-30