文章基本信息

标题：Process Goose Queue Methodologies with Applications in Plant-wide Process Optimization
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作者：Huang, Jingwen ; Li, Hongguang
期刊名称：Journal of Computers
印刷版ISSN：1796-203X
出版年度：2012
卷号：7
期号：10
页码：2462-2470
DOI：10.4304/jcp.7.10.2462-2470
语种：English
出版社：Academy Publisher
摘要：Inspired by biologic nature of flying wild geese, a so-called process goose queue (PGQ) technique oriented for plant-wide optimization is established. Taking advantage of this ad-hoc structure of flying geese, a plant-wide process can be decomposed into several hierarchically connected PGQs along the direction of the objective function generation. In line with this thought, plant-wide process optimization is accordingly identical with the following and tracking issues between leading and following geese. Followed by this philosophy, related theoretical definitions and modeling principles together with enabling algorithms are explicitly introduced. With the characteristics of evolutionary optimization, PGQ approach is able to overcome the algorithmic deficiencies associated with conventional optimizations. To demonstrate the feasibility and validity of the contributions, TE process is employed as the case study.
关键词：plant-wide process;process optimization;process goose queue (PGQ)