The application of compound microorganisms in bioremediation of polluted - river was studied in this thesis . the character of selected bacterial strains and the ability of producing flocculant were also investigated . the paper made good preparations for the application and the effect of cm . through the research , the results can be gained as follows : 1 本论文利用复合微生物的生物修复技术对污染河流进行了小生境模拟实验，并对其中的优势菌株生长特性及其产絮凝剂能力进行了初步探讨，以期为复合微生物在污染河流中的实际应用及其应用效果的提高提供一定的理论基础和依据。
The results shows that the community richness , species diversity indices and evenness of tree layer and shrub layer share the same order , of which is higher in pure limestone region than that of in pure dolomite region , but it reverse in herb layer ; the coefficient of similarity is considerably low between all plots , while species turnover rate is quite high among the plots and is higher in dolomite region than that of in limestone ; in different karst regions , karst processing leads to niches diversity characterized by special morphologies and special element geochamical features , and therefore affect the dynamic and features of plant communities 我们在最有代表性之一的贵州茂兰喀斯特森林保护区选取纯灰岩和纯白云岩两种岩性的喀斯特环境，对其元素地球化学特征及其中原生性植物群落的相异性和物种多样性进行了对比，结果发现：不同岩性区域多样性：乔木层和灌木层为纯灰岩区纯白云岩区，草本层为纯白云岩区纯灰岩区，总体上纯灰岩区的高于纯白云岩区的；各样地间的相似性系数都很低，相同岩性类型内的明显高于不同岩性类型之间的相似度；物种周转率高，且白云岩区高于石灰岩区，种类组成差异明显；喀斯特区可溶岩地球化学背景通过喀斯特作用导致特殊的地形条件与元素地球化学特征，并引起局部小生境的分异从而影响植物群落特征。
Therefore , the optimization of the forward electric quantity of entan hydropower station is mainly studied with the model of optimizing annual forward electric quantity constucted based on the forecasting inflow runoff to reservoir , the model is solved by using niche genetic algorithm and the results can be taken as the basis for the owner to sign the forward market contract 因此本文重点研究了二滩水电站的年期货电量的优化问题，建立了年期货电量优化模型，以基于径流趋势预测方法选用的入库径流量为依据，用小生境遗传算法对模型进行求解，计算结果可作为该公司签订期货合同的依据。
The main work of the dissertation is as follows : 1 . as to the characteristic of aeronautic product project which is generally big and complex , niche genetic algorithms are introduced to solve resource optimization problem . meanwhile , an optimization module , which is suitable to aeronautic product project , is developed by inviting niche genetic algorithms 本文主要工作如下：针对航空产品项目规模大、计划复杂的特点，采用小生境遗传算法进行网络计划的资源优化，克服了简单遗传算法的早熟问题，在此基础上，建立起了适合航空产品项目的资源优化模型。
Thirdly , resorting to cooperation - competition model of biomathematics , this thesis proposes a new co - evolution model . simulation results are shown to verify its effect and practicabilitv . last , standard methods for optimizing neural netvvorks are easily trapped into local optimization , and unable to adjust the structure of neural networks , thus their application is limited to certain extent 本文主要验证和设计适应性操作算子和小生境方法保持群体多样性的能力，实验表明两种方法都能较好地达到目的；利用生物合作竞争模型设计协同演化来动态地改变群体规模，实验表明该模型是有效的；人工神经网络是得到越来越广泛应用的学习系统，但是由于学习算法存在一定的缺陷，如易于陷入局部极值，难以调整网络的结构等，使神经网络的应用受到一定的限制。
In this article , a comparison between basic genetic algorithms and optimal elitist model niche genetic algorithms is made and it illustrates that the optimization has greatly optimized the previous sectional solutions and has speeded up the algorithm convergence and the rate of convergence 摘要探讨了基于稳态复制策略的二进制小生境遗传算法，并把其应用于复杂函数优化问题中，通过与基于最优保存策略的基本遗传算法进行比较，说明改进算法可以极大克服遗传算法未成熟收敛问题以及极易陷入局部解问题，提高了算法收敛性能和收敛速度。
The improvements in this thesis include the hybrid code method , the method of generation of initial populations , substituting the children for parents by combination of the simulated annealing algorithm and niche , adding some new chromosomes to ensure the population ’ s diversity and using the adaptive probability of crossover and mutation 本文的改进方案主要涉及混合编码方式,初始种群的产生方式,采用结合模拟退火算法和小生境思想的替代策略,迭代过程中添加新染色体,采用自适应交叉、变异概率等。
