煤矿地温场反分析的改进混沌遗传算法优化方法

Shilong Wang
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引用次数: 0

摘要

针对煤矿水文地质条件的复杂性,在混沌优化方法和遗传算法的基础上,提出了改进的混沌遗传优化方法。本文运用优化方法对煤矿地温场进行了反分析,并利用反分析参数对地温场进行了预测,为热害控制提供了科学依据。工程实例表明,改进的混沌遗传优化方法对煤矿地温场反分析是可行的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Improved chaos-genetic algorithm optimization method on back analysis of earth temperature field in coal mine
Aiming at complexity of hydrogeological conditions of coal mine, this paper brought forward the improved chaos-genetic optimization method based on the chaos optimization method and genetic algorithm method. Using the optimization method, this paper have carried out the back analysis of earth temperature field of coal mine, then predicted the earth temperature field using the parameters of the back analysis, which provided a scientific basis for control of heat-harm. Through engineering example, the result showed that the improved chaos and genetic optimization method on the back analysis of earth temperature field in coal mine was feasible.
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