The simulated results for a certain howitzer show that the muzzle disturbance can obviously be reduced after optimized ; niche genetic algorithm can search out several effective schemes to favour the flexibility of general layout for the howitzer 结合某火炮，对上述方法进行了计算，计算结果表明：优化后的炮口扰动值比优化前明显降低；小生境遗传算法一次可以搜索出多个有效方案，给火炮总体布置带来更大灵活性。
The proposed method not only makes the exploration capabilities of genetic algorithm stronger through niche techniques , but also has more powerful exploitation capabilities by using simplex method . so it effectively alleviates the two major drawbacks of genetic algorithm 该方法一方面运用小生境技术增强遗传算法“探测”能力，另一方面通过使用单纯形搜索方法提高遗传算法的“开采”能力，从而有效消除遗传算法的两大弱点。
In the next section of this paper we describe a non - generational ga for multiobjective optimization problems ( mop ) . in it the replacement policy is such that an offspring replaces the worst one in the current population only if it is better then it 在将错位交叉算子应用于多目标优化问题求解时，本文提出一种基于非群体迭代型的小生境多目标优化遗传算法，即算法迭代过程中不是更换种群全部或大部分个体，而是每次更新群体中最差的个体。
We also do a further research on constructing comprehensible classification rules using niche - based ga and finding interesting classification rules using adaptive ga . genetic algorithm is an overall random searching method based on the theory of evolution and molecular genetics 本文对遗传算法进行分类规则挖掘进行了研究，并在此基础上，进一步研究了基于小生境遗传算法挖掘易于理解的分类规则和基于自适应遗传算法发现有趣分类规则的技术。
In the course of the evolution of algorithm , the number of niche peaks is decided by seed identification and preservation process , the fitness ascending direction is applied to control search direction , adaptive population distance is used to control search range 算法的进化过程中，通过物种的辨识和保存过程确定小生境的峰值，引入个体趋向于高适应度的方向这一控制参数控制搜索的方向，采用自适应调整种群距离的方法控制搜索的范围，大大提高了搜索效率。
( 4 ) based on the work of the third point , we have first worked on the system optimization and performance analyses of distributed os - cfar detection system under complicated detect conditions ( which means a system with more than two sensors and each sensor works on different conditions ) . using simple genetic algorithms and two modified genetic algorithms named simulated annealing genetic algorithms and niche genetic algorithms , a typical distributed os - cfar detect system 利用基本遗传算法及改进的模拟退火遗传算法、小生境遗传算法，对一个典型的3传感器分布式oscfar检测系统在不同的检测条件下进行了优化，研究了不同遗传算法对该问题优化的适应性，并给出了一组不同条件下的检测器准最优参数结果。
As a result it enhanced the water - retaining and fertility - retaining capacity , strengthened the anti - scour and anti - erosion ability . 3 . sabaigrass can meliorated the little entironment of purple soil bare slope field the results show that sabaigrass treatment and grass tree solid plating treatment can reduce n ( nitrogen ) , p ( phosphorus ) and k ( potassium ) erosion , increase soil nutrition element content , it also increase soil water content and soil pondage , decrease soil water evaporation , strengthen the anti - drought ability 龙须草能改善紫色土荒坡地的小生境龙须草纯种植被和林草立体种植植被能不同程度地增加土壤的有机质和速效n 、 p 、 k的含量；增加土壤含水量和贮水量，减缓和减少土壤的水分蒸发，增强土壤的抗旱能力；降低土壤盛夏的地表最高温度，减少地表温度变化幅度。
Then , the theme provided efficient layout solutions to those accessories of layout - storage with niched genetic algorithm as a tool : through establishing the mathematical model of layout - optimizing problem and according to this model , the theme translated the layout of polygons in rectangle into a special coding of genetic algorithm . following these steps , a mapping model between the codes and the layout of polygons were set up . with that , the theme optimized the layout process using niched genetic algorithm 在此基础上，用基于小生境技术的遗传算法对排样库中的零件进行排样：先建立优化排样的数学模型，根据该数学模型将多边形在矩形板料上的排列方式转化为特定的编码，并建立编码和和排样方式的映射模型，然后采用基于小生境的遗传算法对排样过程进行优化。
Based on the unified framework of generalized neighbor search algorithms , ncsa algorithm that is composed of genetic algorithm and simulated annealing algorithm on the basis of niche technology is brought forward . meanwhile , its characteristics , convergence , and efficiency are also discussed . a typical multi - modal function is used to verify this algorithm ' s experimental features 基于广义邻域搜索算法的统一结构，本文提出一种基于小生境的遗传退火混合优化算法? ngsa算法，对该算法的特点、收敛性和效率做了定性分析，并结合典型多峰函数的求解总结该算法的实验性能。
