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genetic algorithm model
相关语句
  遗传算法模型
     Genetic algorithm model of regional networked manufacturing resource optimal configuration
     区域网络化制造资源优化配置的遗传算法模型
短句来源
     Relation algebra based genetic algorithm model and its applications
     基于关系代数的遗传算法模型及其应用
短句来源
     The genetic algorithm model adopts some cross methods such as downwards extrapolate,upwards extrapolate and nonuniform cross operator.
     在遗传算法模型中采用了向下、向上外推和非一致杂交算子等交叉技术 ,并结合内插、交换等多种技术形成综合交叉方式。
短句来源
     The paper applies genetic algorithm in optimizing locations of distribution centres by means of setting up a genetic algorithm model for location, studying the design for algorithm, analyzing the features of the problem and comparing the method with traditional mix - integer programming.
     针对配送中心的选址问题,将遗传算法这一全局搜索优化技术运用其中,通过建立选址的遗传算法模型,研究了算法设计,分析了其特点,并与传统的混合整数规划解法进行了分析比较。
短句来源
     2. Design two kinds of parallel genetic algorithm model for nesting irregular-shaped parts on irregular-shaped stock.
     2.两种应用于平面不规则零件排样的并行遗传算法模型的设计。
短句来源
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  “genetic algorithm model”译为未确定词的双语例句
     To solve the application problem of the evaluation criterion and algorithm of the partner selection in the virtual enterprise cre-ation,according to the problem in the partner selection,a kind of multi-agent sociality system based on extendible algorithm warehouse is brought forth. It has a genetic algorithm model. The communication mechanism is illuminated by a example.
     为解决虚拟企业创建过程中的伙伴企业选择的评价标准以及评价算法的应用问题,根据虚拟企业的构建过程中伙伴企业选择问题,以遗传算法为算法库模型算法,给出了一种基于可扩展算法库的多Agent社会体系结构,并举例简述了该体系结构的通信机制,最后给出了一种基于遗传算法的虚拟企业伙伴企业选择算法,该算法的作用是对伙伴选择进行优化。
短句来源
     To solve the application problem of the evaluation criterion and algorithm of the partnerselection in the virtual enterprise creation, according to the problem in the partner selection, a kind of Multi-agent Sociality System based on extendible algorithm warehouseisbroughtforth, which has a genetic algorithm model. The communication mechanism is illuminated through aexample. Finally, an optimization partner selection method based on genetic algorithm is presented.
     为解决虚拟企业创建过程中的伙伴企业选择的评价标准以及评价算法的应用问题,根据虚拟企业的构建过程中伙伴企业选择问题,以遗传算法为算法库模型算法,给出了一种基于可扩展算法库的多Agent社会体系结构,并举例简述了该体系结构的通信机制,最后给出了一种基于遗传算法的虚拟企业伙伴企业选择算法,该算法的作用是对伙伴选择进行优化。
短句来源
     Research on genetic algorithm model of direct optimal operation of water supply system
     供水系统直接优化调度遗传算法求解模型研究
短句来源
     The optimization model with 20 design variables and extract 32 constraint conditions from DNV rules about longitudinal strength and buckling strength is established. Correspondingly,the genetic algorithm model is then built for the optimum design.
     以舱段单位长度重量最轻为目标函数,选取了20个设计变量,从DNV规范中提取了32个关于总强度、稳定性等要求作为约束条件,并设计了相应的遗传算法数学模型。
短句来源
     The search space, individuals, genetic operators and the process of searching optima in genetic algorithm are formally described by relation algebra operators such as selection, projection, and generalized Cartesian product. The relation algebra based genetic algorithm model is established, which serves as the explanation of genetic algorithm.
     运用选择、投影、广义笛卡尔积等关系代数运算,给出了遗传算法的搜索空间及个体、遗传算子和搜索最优解过程等关系代数形式的描述,建立了遗传算法的关系代数模型,给出了遗传算法的数学解释.
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  相似匹配句对
     Genetic Algorithm
     遗传算法
短句来源
     improved genetic algorithm;
     改进了遗传优化算法;
短句来源
     The genetic
     用等电聚焦免疫固定技术调查成都地区汉族群体Bf的遗传多态性。
短句来源
     Easy Modeling of Genetic Algorithm
     简单遗传算法模型
短句来源
     in the algorithm;
     算法简单易行。
短句来源
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  genetic algorithm model
We use a genetic algorithm model employing game theory to explore the ecological conditions favoring reproductive tolerance between two unrelated females that meet at a nesting site (i.e., breeding resource).
      
Player learning is simulated with a genetic algorithm model.
      
In the present study a Genetic Algorithm model has been developed and applied to Pechiparai reservoir in Tamil Nadu, India to derive the optimal operational strategies.
      
The coadaptive genetic algorithm model is based more on competition than cooperation.
      
Interestingly there are no variables that are included in both the genetic algorithm model and the logit model but not in the discriminant model.
      
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The multi group genetic algorithms model was established and applied successfully in this paper.The new model accepted the concepts of the standard and independent gene/chromosome model,the multi group model consisting of the species group and the reproduction group,the accumulating way for establishing the initial species group.The model's working efficiency and adaptability to various kinds of problems are better obviously than that of the common model.The process of solving...

The multi group genetic algorithms model was established and applied successfully in this paper.The new model accepted the concepts of the standard and independent gene/chromosome model,the multi group model consisting of the species group and the reproduction group,the accumulating way for establishing the initial species group.The model's working efficiency and adaptability to various kinds of problems are better obviously than that of the common model.The process of solving an optimization problem with the multi group genetic algorithms model consists of the establishment of the initial species group,the adaptation and evolution,the disposal after the evolution's mature and so on. Determining the value of the operators and getting multi peak optimization result were also discussed in this paper.

建立了多重群体遗传算法模型并成功地用于实际研究工作。多重群体遗传算法采用了标准化的独立的基因/染色体模型及由种群和繁殖群体组成的多重群体模型,并采用了积累方式建立初始种群,求解效率和对不同类型问题的适用性有明显的改善和提高。多重群体遗传算法模型求解优化问题的基本过程分为建立初始种群、适应与进化、进化成熟后的处理等内容。文章还讨论了遗传算子的确定和多峰值优化解集的获取等问题

In this paper, we suggest a method to obtain the values of hedging points for a multi part type production system by using the genetic algorithms. We establish a genetic algorithm model for hedging point policy and show that the results of the genetic algorithms can reflect the properties of hedging point policy accurately.

给出一种利用遗传算法求取单机器、多工件生产系统的安全点策略中安全点近似值的方法.建立了安全点策略的遗传算法运算模型,编制了遗传算法程序.通过举例运行说明了遗传算法的运算结果能够正确地体现安全点策略的特性

In this paper. a combination-optimization genetic algorithms model on air defense dis- position plan is put forward, based on theory of genetic algorithms and method of combination-op- timization. This model breaks through traditional limitations of optimum selecting on air defense plan. It has high actual appreciative value and meaning. It has been applied to the research on air defense disposition intelligence decision support system.

建立了防空部署方案的组合优化遗传算法模型,该方法突破了传统的部署方案优选的局限性,现已初步应用于防空部署智能决策支持系统的研究中。

 
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