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首页> 外文会议>American Society of Mechanical Engineers(ASME) Summer Heat Transfer Conference(HT2005) vol.2; 20050717-22; San Francisco,CA(UA) >OPTIMIZATION OF MULTISTAGE VAPOR COMPRESSION SYSTEMS EMPLOYING GENETIC ALGORITHMS
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OPTIMIZATION OF MULTISTAGE VAPOR COMPRESSION SYSTEMS EMPLOYING GENETIC ALGORITHMS

机译：采用遗传算法的多级蒸汽压缩系统的优化

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摘要

Genetic algorithms involve the coding of a solution into a binary string in the same manner that DNA is a biological coding. A population of binary strings are randomly created, evaluated, allowed to mate, and mutated to form a new generation of strings. There is a mating preference given to those strings which rate the highest to simulate the survival of the fittest theory that exists in nature. This process of evaluation, mating, and mutation is repeated until some termination criteria are met. A computer code was written to simulate the vapor compression systems and perpetuate the genetic algorithm. The genetic algorithm functioned adequately enough to provide general trends but it did not find a universal optimum. After numerous runs, the code produced data that suggest that systems which employ intercooler/flash tanks and operate at lower evaporating temperatures have a higher multistage effectiveness. Multistage effectiveness is a novel term defined as the ratio of the overall coefficient of performance (COP) of the multistage system and the combined coefficient of performance of a group of basic vapor compression systems with cooling capacities and evaporating temperatures that parallel the evaporators in the multistage system.
机译：遗传算法涉及将溶液编码为二进制字符串，就像DNA是生物编码一样。随机创建，评估，允许配对和变异二进制字符串，以形成新一代的字符串。对于那些模拟自然界中最适合的理论的生存率最高的弦，它们会优先考虑交配。重复评估，交配和突变的过程，直到满足某些终止标准为止。编写了计算机代码来模拟蒸汽压缩系统，并使遗传算法永久存在。遗传算法的功能足以提供总体趋势，但没有找到通用的最优方法。经过无数次运行后，该规范产生的数据表明，采用中间冷却器/闪蒸罐并在较低的蒸发温度下运行的系统具有较高的多级效率。多级效率是一个新术语，定义为多级系统的总性能系数（COP）与一组基本蒸汽压缩系统的综合性能系数之比，该基本蒸汽压缩系统的冷却能力和蒸发温度与多级蒸发器平行系统。

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