多目标约束遗传算法用于地质样品相态分析的研究

With the development of the science and technology, only to know the total content of unknown elements cannot meet the practical demands distantly. Furthermore, we must know the different mode of occurrence and distribution of the elements. So it is very important to study on phase analysis of elements in geological exploration, mineral deposit evaluation, beneficiation process, minerals comprehensive utilization and environmental conservation..At present, the main method used in chemical phase analysis is to determine the element content of different phases after a selective dissolution for the geological samples. There is a large error because of the inevitable crossing phase in the course of dissolution. In order to improve these defects, Multi-objective Restriction Genetic Algorithms (MGA) is introduced to determine five phases of iron in geological samples simultaneously (<FeO>1,<FeO>2,<FeS>,<FeSi> and <FeCO3>) 、four phases of copper (<CuCO3>,<CuSi>,<CuS>1 and <CuS>2) and five phases of cobalt (<CoSO4>、<CoS>、<CoSi>、<CoO>、<CoCO3>)In this article, a new method of phase analysis of geological samples will be developed, which is simple, quick, accurate, but also practical.

研究多目标约束遗传算法及其在地质样品相态分析中的应用，探索多学科相互渗透、简便、准确的现代相态分析方法。确定表征元素相态特征的参数集；建立反映元素相态物理化学性质及相态之间关系的数学模型；建立动态的、模块化的、多目标复杂约束的、适合于复杂地质样品相态分析的遗传算法，使之能准确地预报元素各相态浓度，且具有一定的实用性。.....