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混合智能优化
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  hybrid intelligent optimization
     Hybrid intelligent optimization for extrusion and forging die shape design
     挤压锻造模具形状的混合智能优化
短句来源
     Hybrid Intelligent Optimization of Injection Molding Processing
     注塑成型工艺的混合智能优化
短句来源
     Hybrid Intelligent Optimization Research and Application for Mining Scheduling System of Cement Material Quarries
     水泥原料矿山开采调度系统的混合智能优化与实践
     A hybrid intelligent optimization algorithm, called GASA is constructed to solve the quadratic assignment model for layout design, and the method for realizing the algorithm is analyzed too.
     文章针对布局问题的平方分派模型 ,构建了一种布局设计的混合智能优化算法———遗传退火算法 ,并分析了算法实现的方法。
短句来源
  “混合智能优化”译为未确定词的双语例句
     The optimization model with multi-factor effect and multi-index restriction of injection molding processing was created to which hybrid intelligent technology was introduced. The main processing parameters were used as design variables. Mathematic relation between processing parameters and quality indexes was obtained by BP neural network.
     将智能优化技术引入注塑成型工艺优化,以成型过程的主要工艺参数为设计变量,利用BP网络获得工艺参数对各质量指标的近似计算关系式,以各质量指标的模糊综合评价函数为遗传算法的适应度函数,建立了解决多因素作用和多指标约束的注塑成型工艺的混合智能优化模型。
短句来源
     This is a complex multi-objective, multi-constraint, multi-modal engineering problem. After analyzing how to deal with the multi-objective optimization and constraints, the technological strategies of optimal design of HMB are given.
     针对此类多目标、多约束、多峰值的复杂工程问题,本文提出应用混合智能优化算法进行集成块自动优化设计的技术路线,对多目标优化问题和约束条件的处理方法进行分析,最终形成了液压集成块总体优化设计问题的解决思路。
短句来源
     As for the scheduling problem of the workshop, the approximately algorithms producing pre-scheduling method and the genetic algorithms used in the cosmically optimize is designed;
     针对作业车间调度问题,本文设计了基于关键路技术的混合智能优化算法; 针对并行多机调度问题,设计了用于产生预调度方案的近似算法和用于大规模优化的遗传算法,提出了禁忌搜索算法的改进策略并付诸实践。
短句来源
     Analyzing fundamentals of stochastic simulation and Tabu search,this paper proposes Tabu search with stochastic simulation of stratified sampling intelligently integrated(TS II).
     将分层抽样随机模拟与禁忌搜索结合,构造了TS II模拟禁忌混合智能优化算法。
短句来源
     A Hybrid Intelligent System (HIS) based on Fuzzy GA and structured chromosome is derived .
     将该方法结合分层的染色体结构构成混合智能优化设计方法 ,并将它应用 MIMO的典型 H∞控制系统的设计 .
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  相似匹配句对
     A Review of Intelligent Hybrid Systems
     智能混合系统
短句来源
     The Analyse of Hybrid Intelligence System
     浅析混合智能系统
短句来源
     Hybrid Intelligent Method for Dynamic Reactive Power Optimization
     动态无功优化混合智能算法
短句来源
     Hybrid Intelligent Optimization of Injection Molding Processing
     注塑成型工艺的混合智能优化
短句来源
     Genetic Algorithm with Stochastic Simulation of Stratified Sampling Intelligently Integrated(GASS II)
     GASSII遗传模拟混合智能优化算法
短句来源
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  hybrid intelligent optimization
Optimization of metal-forming process via a hybrid intelligent optimization technique
      


A fuzzy genetic algorithm (Fuzzy GA) approach is developed according to the deceptive problem and the parameter control problem of the genetic algorithm. A Hybrid Intelligent System (HIS) based on Fuzzy GA and structured chromosome is derived .The effectiveness of such HIS technique is illustrated by the application to the design of a MIMO H ∞ control system.

针对遗传算法的误导性及参数控制等问题 ,提出一种基于模糊优化设计思想的模糊遗传算法 .将该方法结合分层的染色体结构构成混合智能优化设计方法 ,并将它应用 MIMO的典型 H∞控制系统的设计 .仿真试验结果表明 ,该混合智能优化设计方法有效 .

A RBR CBR composite intelligent optimal model is presented which involves rule based inductive knowledge, case based sample knowledge and mathematical programming based optimal knowledge. By integrating the knowledge organically, this model can be used to describe complicated production process. A successful application of this model in the production schedule of petroleum industry is also shown.

针对炼油厂智能优化生产调度问题 ,提出了包含基于规则的归纳性知识、基于实例的样本性知识和基于数学规划的优化过程知识的 RBR-CBR混合智能优化模型 .通过这三种不同知识的有机结合 ,该模型可用于对复杂的生产过程进行描述 .该模型已用于石油工业生产调度问题

The method of seismic optimized non-linear inversion consists of genetic algorithm and artificial nerval network and employes mix intelligence optimum learning method.It method uses BP′s algorithm as an operator in genetic adaptive algorithm and search with probability PBP mode. So the global optimal solution is obtained quickly.Non-linear mapping is constructed from well loggin and seismic trace for Jialing river Formation and high-resolution inversion section is obtained from the inversion method. The high-resolution...

The method of seismic optimized non-linear inversion consists of genetic algorithm and artificial nerval network and employes mix intelligence optimum learning method.It method uses BP′s algorithm as an operator in genetic adaptive algorithm and search with probability PBP mode. So the global optimal solution is obtained quickly.Non-linear mapping is constructed from well loggin and seismic trace for Jialing river Formation and high-resolution inversion section is obtained from the inversion method. The high-resolution reservoir parameter shows clearly the varying characters of Jialing river Formation and can identify effectively the thin reservoir in Jialing river Formation.Practical drills comfirm the effect of reservoir prediction and high production gas is obtained in Jialing river Formation.Therefore the method of seismic optimized non-linear inversion will have prospect of wide application.

 地震优化非线性反演方法是一种集遗传算法和人工神经网络技术的优势于一体的新技术,它采用混合智能优化学习方法,这种优化学习方法是将BP算法作为一个算子嵌入到自适应遗传算法中,以概率Pbp的方式进行搜索运算,从而,快速而精确地找到全局最优解。在嘉陵江组的实际反演研究中,由井点出发构造测井资料与井旁地震道的非线性映射关系,并自适应地更新这种非线性映射关系和自适应外推,以获得嘉陵江组的高分辨率反演剖面,这种高分辨率剖面清晰而详细地反映出嘉陵江组在纵横方向上的变化特征,有效识别这种薄储层,获得了很好的储层预测效果,并为钻井所证实,在嘉陵江组储层中获得高产工业气流。因此,地震优化非线性反演方法具有广阔的应用前景。

 
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