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首页> 外文期刊>International Journal of Heat and Mass Transfer >Optimization route arrangement: A new concept to achieve high efficiency and quality in heat exchanger network synthesis
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Optimization route arrangement: A new concept to achieve high efficiency and quality in heat exchanger network synthesis

机译：优化路线布置：一种新的概念，实现热交换器网络合成中高效率和质量

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摘要

Heuristic algorithms are widely used in the global optimization of heat exchanger network synthesis (HENS). However, since heuristic algorithms are often characterized by a divergent search and a combination of multi-parameters, it is difficult to weigh and balance the global and local search in the process. In existing algorithms, the global and local search weight is commonly fixed during optimization. As a result, the algorithms hardly distribute the structural and continuous variables optimization suitably, sometimes even becoming invalid. Even more so, such algorithms fail to realize functions enhancing the searching ability. Therefore, this paper proposes a new, phased, modular concept that supports functional and sub-functional combinations to timely escape the stagnant status and obtain satisfying solutions with high efficiency and high quality. The concept's main goal is to achieve flexible combining and sequencing of different functions during the optimization process. Hence, the optimization route arrangement emphasizes the functions' distribution, which differs from the sequential methods decomposing the whole problem. Each route's components are not unique, and the structure's current needs can change the modules' sequences and categories. Such coordination of modules improves the algorithm's exploration and exploitation abilities, enabling the proposed method to attain better results within less computational time and rendering. Therefore, the proposed method is more suitable in large-scale HENS owing to much local optima involved in cases. Three cases are used to demonstrate the proposed routes' validity, which shows that the optimization route arrangement successfully decreases the total annual cost and improves computational efficiency.
机译：启发式算法广泛用于热交换器网络合成（母鸡）的全局优化。然而，由于启发式算法通常是通过发散搜索和多参数的组合来表征，因此难以称重和平衡过程中的全局和本地搜索。在现有算法中，全局和本地搜索权重通常在优化期间固定。结果，该算法很难适当地分布结构和连续变量优化，有时甚至变得无效。更重要的是，这种算法无法实现增强搜索能力的功能。因此，本文提出了一种新的，相算的模块化概念，支持功能性和子功能组合，以及时逃避停滞状态，并以高效率和高质量获得令人满意的解决方案。该概念的主要目标是在优化过程中实现不同功能的灵活组合和排序。因此，优化路径布置强调了功能“分布，这与分解整个问题的顺序方法不同。每个路由的组件都不是唯一的，结构的当前需求可以更改模块的序列和类别。模块的这种协调提高了算法的探索和剥削能力，使得提出的方法在较少的计算时间和渲染中可以获得更好的结果。因此，由于涉及的情况下，所提出的方法更适合大型母鸡。三种情况用于展示所提出的路线的有效性，表明优化路线安排成功降低了年度总成本并提高了计算效率。

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