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小生境
    Research on Structure Learning Algorithm of Bayesian Networks Based on Niche Genetic Algorithm
    基于小生境遗传算法的贝叶斯网络结构学习算法研究
    Niche Particle Swarm Optimization algorithm
    小生境粒子群优化算法
    The Application of Rapid Niche Adaptive Genetic Algorithm to AGC of Cascaded Hydroelectric System
    快速小生境自适应遗传算法在梯级水电站AGC中的应用研究
    Research on the Niche and Parallel Genetic Algorithm
    小生境与并行遗传算法研究
    The Optimum Design of Strike Longwall Mining District Based on Niche Genetic Algorithm
    基于小生境遗传算法的走向长壁采区优化设计
    Study on particle swarm optimization algorithms based on niche of sharing mechanism
    基于共享机制的小生境粒子群优化算法
    Design of ship FNN autopilot based on niche immune genetic algorithm
    基于小生境免疫算法的船舶FNN自动舵设计
    For GA's prematurity, stagnation and low searching efficiency, such technology as floating-point coding, net-like initialization, algorithmic crossing and random variation were introduced to improve single GA and these technologies were also introduced intoniche GA. Thus an improved niche GA was formed for the stability analysis and critical slip surface searching of high and steep slopes.
    并针对简单遗传算法存在容易出现早熟、停滞以及搜索效率低的问题,通过采用浮点编码、网格式初始化种群、算术式交叉操作和随机方向变异方式等技术对简单遗传算法进行了全面的改进,并将这些改进技术引入隔离小生境遗传算法中,提出了一种高等级公路高陡边坡稳定性分析和临界滑动面搜索改进隔离小生境遗传算法。
    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.
    ●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。
    The niche technology is introduced to the algorithm to keep the population diversity in order to avoid the premature convergence and the unique solution.
    在进化过程中,该算法引入了小生境的思想,以保持多目标遗传算法的群体多样性,防止算法由于过高的选择压力导致早熟收敛以及群体缺乏多样性而使进化结果收敛至单个解。
    Then, Niche Genetic Algorithm is used to do global optimization for multiple-impulse rendezvous.
    分别介绍了相对运动中的二冲量最优交会和多冲量最优交会算法,并利用小生境遗传算法对多冲量交会对接进行了全局优化。
    The other is a niche adaptive hybrid genetic algorithm for TSP. This improved adaptive hybrid algorithm, which employs the technique of niche and proposes two indexes for variety, avoids premature phenomenon effectively and improves the capability of local search by comparison test of TSP.
    另一个是小生境自适应混合遗传算法,该算法引入小生境技术,提出了新的多样性评价指标和自适应算子,并结合自适应技术和模拟退火算法的思想对遗传算法进行改进,最后就TSP问题进行了重复对比测试,表明该算法在一定程度上能避免早熟现象,改善算法的局部搜索能力。
    The paper proposes isolate niche genetic algorithm for the reactive power optimization due to the shortage of traditional genetic algorithm, such as the cord form, holding of population multiplicity, the GA operator and the stopping criterion.
    本文将隔离小生境遗传算法应用于无功优化中,针对传统遗传算法的不足进行了相应的改进,如:编码形式、种群多样性的保持、交叉算子、变异算子以及停止判断准则等,达到了理想的优化效果。
    Simulated annealing algorithms, BP algorithms and niche technology are used in the method.
    该算法利用模拟退火算法、 BP算法和小生境技术来加快算法的收敛速度 ,改善解的性能。
    Through the study of species quantity charocters (important value,overlapped value,niche width) and analysis of the habitat factors,the results showed that the karst population and its habitat analysis was feasible for measuring and analysing the niche features of karst vegetation,and the result corresponded for the succisseon rules
    通过对 Karst峰丛洼地植被种的数量特征 (重要值、重迭值、生态位宽度、生物量 )的研究和对其相应的小生境因子野外实测数据进行分析 ,结果表明 :类似于极点的 Karst种群分析与相应群落小生境现状调查分析 ,对于计测、分析 Karst植被生态位特征是可行的 ,并且两者得出的结论是一致的 ,与演替原理相符。
    The adoption of niche concept improves the ability of genetic algorithm in solving multimodel function optimization problems.
    小生境 (niche)技术的引入 ,提高了遗传算法处理多峰函数 (m ultimodel function)优化问题的能力 .
    Radial basis function neural network (RBFNN) based on chromatographic peakshape functions and spectral lineshape functions has been constructed. A genetic algorithm based on feasible field constraint and shared niche technique is introduced to enable this RBFNN to acquire the ability of reconstruction.
    根据光谱线型函数和色谱峰型函数的 (近似 )径向对称性和紧支性 ,首先构造了以线型或峰型函数为基函数的径向基函数神经网络 ( RBFNN) ,在 RBFNN学习算法中引入了基于可行域约束和共享小生境技术的遗传算法( GA) ,从而使 RBFNN具有了结构自学习和参数优化的能力 .
    On the basis of GM( 1, 1, D, λtk), a more general GM( 1, 1, λ, △tk) is developed. In order to find the optimized GM(1, 1, λ, △tk), a method based on Niche GA is given. An example proves that a good forecasting result using GM(1, 1, λ, △tk)model can be obtained.
    在非等间隔GM(1,1,D,△t_k)模型基础上,建立了更具一般性的非等间隔GM(1,1,λ,△t_k)模型,并给出了求解最优GM(1,1,λ,△t_k)模型的小生境遗传算法,实例证明,用GM(1,1,λ,△t_k)模型进行预测能取得好的效果。
    In order to elaborate the population search advantages of genetic algorithm and improve the efficiency and flexibility of multi-objective optimization design Pareto genetic algorithm, a new method suitable for multi-objective optimization design, is established based on self-adaptive genetic algorithm which population ranking technique, niche technique and pareto solution set filter are introduced.
    为了发挥遗传算法群体搜索的优势,提高多目标优化设计效率和灵活性,在自适应遗传算法的基础上引入群体排序技术、小生境技术和Pareto解集过滤器,建立了一种适用于多目标优化设计的Pareto遗传算法。
    An effective method for complex damage detection using the improved Cross Modal Strain Energy(CMSE) technique and Niche Genetic algorithms is presented.
    本文提供了一种基于交叉模态应变能简称CMSE(cross modal strain energy)和小生境遗传算法的结构多损伤位置和严重程度的有效检测方法。
 

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