Research of Sensitivity Genetic Algorithm for Inverse Computation of Structure

The sensitivity genetic algorithm is developed in order to carry out effectively the inversion analysis of the diagnosis of the structure damage. The genetic algorithm with the technique of sensitivity can not only reduce the operation time of the program     

氧气高炉多流体数值模拟与分析

为研究不同氧气高炉操作流程及操作参数对高炉内部过程产生的影响,预测氧气高炉流程各参数的变化规律,基于多流体理论、冶金传输原理、冶金反应动力学与热力学理论以及计算流体力学建立了普通高炉多流体模型,并在此基础上修改边界条件及内部相关参数,建立氧气高炉多流体数学模型。通过建立的模型分别对普通高炉和气化炉氧气高炉(GF-FOBF)流程中的氧气高炉进行了模拟计算,得到两种工艺流程下高炉内温度场、浓度场和速度场等典型参数的分布情况。通过对计算结果的对比,分析了氧气高炉操作条件下炉内状态的主要特征和相对于普通高炉发生的变化,发现氧气高炉内部速度场、温度场均发生变化,特别是气相组分的均匀分布问题明显。本模型可为氧气高炉流程试验及流程开发提供参考。     

Hybrid Genetic Algorithms for Multimodal Optimization

Hybrid genetic algorithms, which are based on steepest descent algorithm and genetic algorithm, are investigated for the purpose of multimodal optimization. The performances of the hybrid genetic algorithms are evaluated with criteria such as convergence probability, average convergence time and average convergence value of the function in the case of solving global optimization for Schaffer function. It is shown that the performances of the hybrid genetic algorithms are better than steepest decent algorithm or genetic algorithm, and the hybrid genetic algorithm, in which the individuals used for local optimization by steepest decent method are chosen by chance in each generation population, is more efficient than that in which the individuals used for local optimization by steepest descent method are selected from excellent individuals.     

Modeling and Simulation Based on Pole-zero Placement Self-adaptive Temperature Control System

Based on model parameters estimating, a kind of algorithm of pole-zero placement self-adaptive temperature control is put forward according to closed loop apices distribution of resistance furnace temperature control. The mathematic model is presented by discursion for the controlled object, at the same time, the algorithm is illustrated identification method of model parameters, compute formula and simulation result of controlled parameters. Simulations and practices of the model proved that the algorithm is of rapid constringency speed , satisfactory effect on the object with time changing especially for the controlled objects of the high current and low voltage characteristics. The algorithm has been applied in the temperature control of intelligent slag measurement equipment of a iron-steel graduate school.     

Analysis of Global Stability of Soil Nailing Bracing Structures in Non-homogeneous Soil

Based on Swedish slices limited equilibrium method, a new computation formula of stability safety factor is presented for interior stability analysis of soil nailing wall in non-homogeneous soil. A new genetic algorithm is put forward by adopting dynamic self-adaptive technology and nonstandard genetic operators. Applying the dynamic self-adaptive technology and nonstandard genetic operators into the field of soil-nailing wall interior stability analysis, the dynamic adaptive genetic algorithm for searching the arbitrary critical slip surface is established. It is shown that the dynamic adaptive genetic algorithm has better performance in finding optimal solution, quicker convergence than traditional algorithm as well as more reasonable results.     

Order planning for iron and steel enterprise considering production organization constraints

To realize efficient operation, the production organization constraints of ironmaking/steelmaking interface, desulphorization basic oxygen furnace and decarburization basic oxygen furnace, refining equipment and casting/rolling interface of typical steel production process A are analyzed. Order planning model of iron and steel enterprises considering production organization constraints is established. The scheduling compact and coordination and the optimization of commissioning date of different production lines are fully considered in the model. Then, the model is solved by tabu search. Finally, three different sizes of actual production contracts which are randomly selected from the steel plant A are simulated. The results prove the presented model and algorithm can harmonize and optimize the production effectively and also realize the process running efficiently.     

Effect of UPC on the Dropping Property of Slag of BF at PANZHIHUA I & S CO.

A series of fundamental experiments are carried out to clarify UPC on the effect of taking shape and dropping of slag of BF at PANZHIHUA I & S CO. by using high temperature. oven simulation cohesive zone and dropping zone of blast furnace. The following results are obtained: The dropping quantity of the Titanium bearing Slag increases with UPC increasing. It is conclusion opposite to that of commonly blast furnace slag.     

二维高炉区域BFC网格生成技术及其Matlab实现

利用数学模型对高炉冶炼过程进行模拟是高炉炼铁新工艺研发的有效方法,网格生成技术是数值模拟过程中重要的前处理过程,是高炉模拟计算的先决条件。生成网格的质量对高炉模型模拟的精度、效率以及收敛性具有重要影响,因此,建立优质的网格对高炉数学模型的求解具有重要意义。文中提出了一种适用于高炉数学模型的适体坐标系(BFC)网格的生成方法,从求解区域的划分、椭圆型方程的转换、椭圆型方程的离散及BFC网格生成步骤等方面进行了研究,并把死料区的边界作为BFC网格计算的边界条件,使数学模型的求解过程得以简化。采用带有源项的泊松方程作为变换方程,网格的正交性和疏密程度便于控制。该网格生成算法原理简单、易于编程、网格生成效率高,生成的网格能够满足数学模型求解的要求。     

Application of Improved Hierarchic Genetic Algorithm to Damage Detection of the Main Girder for Cable-stayed Bridge

In the process of damage identification for high-order nonlinear structure such as cable-stayed bridges by the standard genetic algorithm, premature convergence would appear. In order to avoid this, an improved hierarchic genetic algorithm was proposed. The cable force change was used to establish the optimization function and threetypes of standard genetic algorithm were combined with variable fine-tuning and hierarchic strategy.To establish a hierarchical genetic algorithm with catastrophe characteristics A single-tower cable-stayed bridge model was used in the numerical simulation and the result showed that the probability of premature convergence was reduced in the improved hierarchic genetic algorithm and and the cable-stayed bridge damage was identified effectively. The anti-noise performance was better.     

Job-Shop scheduling based on improved immune cloning algorithm

Parallel immune clone algorithm is proposed based on population coevolution theory and parallel computing affinity of individual at multiple compute nodes. Introducing the immune memory mechanism, the evolution processes of antibody population and memory units are conducted simultaneously, meanwhile, it improves mutual cooperation among antibodies, and ensures solution set approaching optimal solution from the inside of feasible region or infeasible region border. Clone proliferation, high frequency variation and operation of crossover operators increase the chance that better individuals gain affinity maturation by the operation of clone expansion, improve diversity of antibody population distribution, achieve the balance of optimization between depth and range, and ensure the convergence of the algorithm and the diversity of the search range. A computational study for a standard data set is carried out to test the validity of the algorithm, and the effect of algorithm parameters on the results is analyzed. The simulation results show that the global search capability, local search capability, algorithm stability and computing speed of the algorithm are all superior to conventional optimization algorithms such as normal immune clone optimization algorithm, genetic algorithm, etc.     

基于云遗传RBF神经网络的储粮温度预测研究

采用基于云理论的遗传算法对RBF神经网络算法进行优化,将优化后的算法引入到储粮温度参数分析中,对粮堆内部温度环境的变化情况进行预测。实验结果表明:优化后的算法对粮堆内温度预测具有较好的效果,预测的拟合程度很高,进而证明优化后的温度预测模型的有效性和可行性。     

Using a genetic algorithm to optimize secondary cooling water distribution in slab casting

A genetic algorithm was used for coding the volume of cooling water in the secondary cooling zone based on the heat transfer model in real time production. This was done to improve the dynamic control of the secondary cooling water in high efficiency continuous casting. The fitness function of multi objective optimization in the algorithm is in accordance with the distribution of metallurgical criteria. The genetic algorithm was integrated with the metallurgical criteria and the heat transferring model to optimize the water distribution. These steps increase the distribution adaptability and improve its efficiency compared to the traditional optimization methods of solving multi objective optimization and other non linear problems. Simulation using the process data of the No.2 slab caster in the Steelmaking Plant of Panzhihua Iron and Steel and on site testing were carried out. The results show that the optimized distribution saves 2% of water than without optimization, while water distribution along the slab to the water gradually decreases in accordance with requirements for slab quality control.     

A Genetic Algorithm Based on Repeating Crossover and Optimum Maintaining Strategy

A novel genetic algorithm,simply written as REGA, is proposed with the idea to limit the number of repeating crossover and replacing the worst individuals of the current generation by the best ones of the former generation. The algorithm overcomes the premature phenomenon of the simple genetic algorithm. According to Markov's limitation theorem, we prove its global convergence,explore the properties of the genetic algorithm written as RSGA only based on repeating crossover,and provide a method to calculate the mathematic expectation on the absorption time for the two algorithms. Finally,the simulation shows that the algorithm REGA can solve the optimization problem containing more than one global optimal solutions,on one hand,while eliminating the drawback of local optimum and rapidly enhancing the average fitness. On the other hand, REGA is valuable for function optimization.     

An efficient combination of genetic ant colony algorithm in QoS routing

Existing genetic ant colony algorithm has the problem of poor integration and prone to congestion. In response to this phenomenon, this article put forward an efficient combination of genetic ant colony algorithm based on the advantages of different periods of the genetic algorithm and ant colony algorithm. The algorithm proposes a new fusion mechanism on the basis of the consideration relationship of the genetic algorithm groups. And an anti-congestion reward and punishment mechanism is introduced to alleviate the load pressure of the system nodes. The experimental results show that the algorithm can guarantee the efficiency of the system transmission, at the same time it can effectively prevent data packet loss. Compared with the traditional algorithm, it has the advantages of high efficiency, low energy and anti-dropout.     

Step-by-step Method of Structural Damage Diagnosis

Base on the existing step-by-step structural damage diagnosis method, a three-step structural damage diagnosis method is developed. According to the analysis of the characteristic of genetic algorithm, a new idea of excluding the undamaged element by means of step-by-step evaluation is developed to deal with the damage diagnosis problem. In this method, sensitivity genetic algorithm is used to exclude the undamaged element step by step and residual force method is used to fix the damage district. According to the simulation research of a 2D framed structure, it is shown that the step-by-step structural damage diagnosis method can gain the ideal results when it's difficult for a single damage diagnosis method to get the good results. It is also indicated that sensitivity genetic algorithm is a good way to exclude the undamaged element step by step.     

Automatic Fingerprint Classification by GA-Based Neural Network

Fingerprint classification can provide an important indexing mechanism in a fingerprint database. An accurate and consistent classification can greatly reduce fingerprint matching time for large database. In the paper, by combining genetic algorithm and neural network is presented a fingerprint classification algorithm which is able to achieve an accurate classification. By inputting the global feature represented by directional image to three layer neural network trained by genetic algorithm, the fingerprints were classified into six categories: whorl, right loop, left loop, arch, double loop and undiscerning type successfully.     

氧气高炉工艺研究进展及新炉型设计

从氧气高炉的数学模型、实验室实验以及工业试验角度系统分析了氧气高炉工艺的发展现状及趋势,同时讨论了氧气高炉炉型的设计依据。论述了氧气高炉的静态工艺模型研究需要计算合适的直接还原度和热空区温度,同时应考虑氧气高炉工况下生产率的变化、热损失的变化、风口煤粉的喷吹上限以及N₂的循环积累等问题。指出了多维动力学模型和多目标优化模型中尚需解决的问题,以及氧气高炉数学模型的主要发展方向。结合文献研究中的氧气高炉特点,从炉身高度设计、炉腹角和炉身角设计以及风口设计3方面综述了氧气高炉炉型设计的变化规律。     

Multiple Load Flow Solutions in Electric Power Systems Based on Genetic Algorithm

Methods for satisfying the power balance requirement and the voltage magnitude costraint are developed and incorporated into the genetic algorithm method to form a constrained genetic algorithm for solving the load flow problem.The robustness of the load flow algorithm is enhanced by the dynamic population.the technique for accelerating the convergence of the optimisation process and the network node sequencing procedure described in the paper.The efficiency and feasibility of the developed CGALF algorithm have been tested using KK 11 node system under light load and heavy load conditions.     

Hybrid Genetic Algorithm Based on Novel Adaptive Penalty Function

The authors introduce a sort of novel adaptive penalty gene, transform the constrained problem into unconstrained problems. An solution is given for this unconstrained problem with genetic algorithm, and then it is used as initial values for the constrained variable metric method to get precise solution. The numerical experiments illustrate that this hybrid genetic algorithm is more efficient than the genetic algorithm, and at most situations globally optimal solution can be gotten.     

A Study on the Reduction of Hexavalent Chromium Ion in the Process of Sintering and Ironmaking

The basic principle of using chromium leach residue as melting flux of blast furnace is introduced in this paper.The reduction thermodynamics of Na 2CrO 4 and chromium oxides in the process of sintering and ironmaking is studied,and the simulating experiments in the laboratory and industrial experiments in 600 m 3 blase furnace are carried out.The results of thermodynamical study and experimental study show that hexavalent chromium ion in the burden can be well eliminated in the process of sintering and ironmaking.