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首页> 外文期刊>Journal of Computers >Process Goose Queue Methodologies with Applications in Plant-wide Process Optimization
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Process Goose Queue Methodologies with Applications in Plant-wide Process Optimization

机译：处理鹅队列方法，在植物范围的过程优化中的应用

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—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.
机译：通过飞行野鹅的生物学性质，建立了一种用于植物广泛优化的所谓的过程鹅队列（PGQ）技术。利用这种飞行鹅的临时结构，植物范围的过程可以沿着客观函数的方向分解成几个分层连接的PGQ。符合此思想，植物范围的过程优化与以下内容相同，并跟踪领先鹅之间的问题。其次是这种理念，明确介绍了相关的理论定义和建模原理与启用算法。利用进化优化的特征，PGQ方法能够克服与传统优化相关的算法缺陷。为了证明贡献的可行性和有效性，TE Process是案例研究。

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