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1.
The simultaneous removal of ethyl acetate, benzene and toluene with relatively low or high initial concentration is studied using a laboratory scale gliding arc gas discharge (GA) reactor. Good decomposition efficiencies are obtained which proves that the GA is effective for the treatment of volatile organic compounds (VOCs) with either low or high concentration. A theoretical decomposition mechanism is proposed based on detection of the species in the plasma region and analysis of the decomposition by-products. This preliminary investigation reveals that the GA has potential to be applied to the treatment of exhaust air during color printing and coating works, by either direct removal or combination with activated carbon adsorption/desorption process.  相似文献   

2.
采用安全分析法和专家调查法,以事故致因理论进行系统安全分析,建立了高校实验室压力容器使用管理系统的安全评价体系;应用层次分析法,确定了压力容器使用该评价体系中各子系统及各指标的权重;结合实际经验,根据安全规范构造各指标隶属度,进而根据评价集构造了隶属度函数,采用模糊综合评价法并得到各指标对评价集的最终隶属度、模糊矩阵和综合评价,求得压力容器使用管理系统安全状况的综合得分,进而划分安全评价等级,评价结论可为压力容器安全使用管理提供科学依据。  相似文献   

3.
This paper presents an efficient and reliable genetic algorithm (GA) based particle swarm optimization (PSO) tech- nique (hybrid GAPSO) for solving the economic dispatch (ED) problem in power systems. The non-linear characteristics of the generators, such as prohibited operating zones, ramp rate limits and non-smooth cost functions of the practical generator operation are considered. The proposed hybrid algorithm is demonstrated for three different systems and the performance is compared with the GA and PSO in terms of solution quality and computation efficiency. Comparison of results proved that the proposed algo- rithm can obtain higher quality solutions efficiently in ED problems. A comprehensive software package is developed using MATLAB.  相似文献   

4.
INTRODUCTION Two-phase flow exists widely in chemical, pe- troleum and metallurgical industries. The voidage is one of the most important parameters of two-phase flow because the measurement of the voidage is im- portant for safety, environmental protection, energy conservation and quality assurance in industry (Hewitt, 1978; Lin, 1992). Although many voidage measurement methods have been proposed, it is still difficult to measure the voidage due to the complexity of the characteristics o…  相似文献   

5.
Optimal strategy of searching FPD weights scanning matrix using GA-PSO   总被引:1,自引:0,他引:1  
This paper discusses a kind of optimal method used for searching flat panel display (FPD) scanning matrix. The method adopts bionic algorithm: genetic algorithm (GA) and particle swarm optimization (PSO) algorithm. The method using single GA is more time-consuming, and the search efficiency is low in later evolution; the PSO algorithm is easily falling into the local optimal solution and appears the premature convergent phenomenon. Hence, a hybrid approach of GAPSO is found to optimize the search for high grayscale weights scanning matrix. Finally in the acceptable time, it finds a weight scanning matrix (WSM) of 256 gray scales with Matlab, whose scanning efficiency reaches 94.73% and the linearity is very good.  相似文献   

6.
巡回旅行商问题(TSP)是一个组合优化方面的问题,已经成为测试组合优化新算法的标准问题。应用遗传算法解决TSP问题,首先对访问城市序列进行排列组合的方法编码,这保证了每个城市经过且只经过一次。接着生成初始种群,并计算适应度函数,即计算遍历所有城市的距离。然后用最优保存法确定选择算子,以保证优秀个体直接复制到下一代。采用有序交叉和倒置变异法确定交叉算子和变异算子。最后用MATLAB来实现算法,仿真后,观察路径,得出最终结果。  相似文献   

7.
GA-hardness and interdependence between genes in the chromosome are important questions in the study of genetic algorithms (GA) ,Traditional methods,which are used to measure the interaction between genes,can only reflect the extent of epistasis between all genes in the chromosome, Therefore,the definition of the fitness landscape of schemata is proosed in this paper,and epistasis measures on this landscape of schemata are used to analyze the degree of interdependence between some certain gene loci in study ,Some information between these sites can be reflected by some characters of the fitness landscape of schemata which are composed of these fixed sites,The stronger the interaction between these sites,the larger the variation of the fitness of schemata whose fixed sites correspond to those sites in study ,and the more rugged the fitness landscape of these schemata,According to the degree of interaction between given gene loci ,building blocks of GA can be analyzed and determined,and further genetic operators and the structure of GA can be designed and adjusted to improve the perfomance of GA ,At last,a lot of experiments including NK-models are done,and results of empirical analysis show that this method is effective.  相似文献   

8.
The solid oxide fuel cell (SOFC) is a nonlinear system that is hard to model by conventional methods. So far,most existing models are based on conversion laws,which are too complicated to be applied to design a control system. To facilitate a valid control strategy design,this paper tries to avoid the internal complexities and presents a modelling study of SOFC per-formance by using a radial basis function (RBF) neural network based on a genetic algorithm (GA). During the process of mod-elling,the GA aims to optimize the parameters of RBF neural networks and the optimum values are regarded as the initial values of the RBF neural network parameters. The validity and accuracy of modelling are tested by simulations,whose results reveal that it is feasible to establish the model of SOFC stack by using RBF neural networks identification based on the GA. Furthermore,it is possible to design an online controller of a SOFC stack based on this GA-RBF neural network identification model.  相似文献   

9.
针对三角面网格提出了一种新的网格简化方法,简化过程主要包括网格删除和网格重构。根据需建立的数量比例权重来进行冗余网格删除工作,然后利用遗传算法建立修正适应度函数来重构网格,达到三角网格数量的精简与形状匹配最优化目标。最后通过一实例讨论与对比分析,验证了该方法的有效性和准确性。  相似文献   

10.
This paper describes a nonlinear model predictive controller for regulating a molten carbonate fuel cell (MCFC). In order to improve MCFC’s generating performance, prolong its life and guarantee safety, it must be controlled efficiently. First, the output voltage of an MCFC stack is identified by a least squares support vector machine (LS-SVM) method with radial basis function (RBF) kernel so as to implement nonlinear predictive control. And then, the optimal control sequences are obtained by applying genetic algorithm (GA). The model and controller have been realized in the MATLAB environment. Simulation results indicated that the proposed controller exhibits satisfying control effect.  相似文献   

11.
Design of general multivariable process controllers is an attractive and practical alternative to optimizing design by evolutionary algorithms (EAs) since it can be formulated as an optimization problem. A closed-loop particle swarm optimization (CLPSO) algorithm is proposed by mapping PSO elements into the closed-loop system based on control theories. At each time step, a proportional integral (PI) controller is used to calculate an updated inertia weight for each particle in swarms from its last fitness. With this modification, limitations caused by a uniform inertia weight for the whole population are avoided, and the particles have enough diversity. After the effectiveness, efficiency and robustness are tested by benchmark functions, CLPSO is applied to design a multivariable proportional-integral-derivative (PID) controller for a solvent dehydration tower in a chemical plant and has improved its performances.  相似文献   

12.
y Control Based on Genetic Algorithm and Its ApplicationsTX1IntroductionMembershipfunctionisthebasisforfuzzylogictheorytoappli...  相似文献   

13.
We extended an improved version of the discrete particle swarm optimization (DPSO) algorithm proposed by Liao et al.(2007) to solve the dynamic facility layout problem (DFLP). A computational study was performed with the existing heuristic algorithms, including the dynamic programming (DP), genetic algorithm (GA), simulated annealing (SA), hybrid ant system (HAS), hybrid simulated annealing (SA-EG), hybrid genetic algorithms (NLGA and CONGA). The proposed DPSO algorithm, SA, HAS, GA, DP, SA-EG, NLGA, and CONGA obtained the best solutions for 33, 24, 20, 10, 12, 20, 5, and 2 of the 48 problems from (Balakrishnan and Cheng, 2000), respectively. These results show that the DPSO is very effective in dealing with the DFLP. The extended DPSO also has very good computational efficiency when the problem size increases.  相似文献   

14.
Parameter optimization model in electrical discharge machining process   总被引:4,自引:0,他引:4  
Electrical discharge machining (EDM) process, at present is still an experience process, wherein selected parameters are often far from the optimum, and at the same time selecting optimization parameters is costly and time consuming. In this paper, artificial neural network (ANN) and genetic algorithm (GA) are used together to establish the parameter optimization model. An ANN model which adapts Levenberg-Marquardt algorithm has been set up to represent the relationship between material removal rate (MRR) and input parameters, and GA is used to optimize parameters, so that optimization results are obtained. The model is shown to be effective, and MRR is improved using optimized machining parameters.  相似文献   

15.
遗传算法     
本文介绍遗传算法的相关概念─染色体。适应值函数、复制算子、杂交算子和变异算子,给出算法描述和数值例子;同时给出遗传算法的模式定理和收敛性定理;最后,讨论遗传算法的特点和应用前景.  相似文献   

16.
An important feature of the traffic in mobile networks is burstiness. Drawbacks of conventional power control algorithms for time division duplex (TDD)-code division multiple access (CDMA) systems are analyzed. A joint power control algorithm based on service factor is presented to address the TDD-CDMA mobile services in the burst mode according to the Markov modulated Bernoulli process. The joint power control equation is derived. A function model is developed to verify the new algorithm and evaluate its performance. Simulation results show that the new power control algorithm can estimate interference strength more precisely, speed up convergence of power control, and enhance power efficiency and system capacity. It is shown that the proposed algorithm is more robust against link gain changes, and outperforms the reference algorithms.  相似文献   

17.
提出了一种求解带约束非线性规划问题的一般方法。与现有的方法相比,它不受可导性、单峰性和是否病态等因素的限制,适用范围广。实例说明该算法对带约束非线性规划问题的求解十分有效。  相似文献   

18.
对运用遗传算法来生成PCB和MCM互连测试矢量集这一过程进行了研究,并对编码策略、目标函数等问题进行了讨论,提出了故障模拟方案,得出一种高效混合并行遗传算法,最后还通过实验验证了该方法比一般算法更有效。  相似文献   

19.
基本遗传算法适应度及遗传算子设计简单,求解复杂优化问题易于早熟,收敛速度慢等缺点.基于遗传算法基本框架,设计新的适应度函数,减少遗传算法中的交叉算子,改进其变异方式,提出一种改进的遗传进化算法.  相似文献   

20.
本文提出了一种求解带约束非线性规划问题的一般方法。与现有的方法相比 ,它不受可导性 ,单峰性和是否病态等因素的限制 ,适用范围广。实例说明该算法对带约束非线规划问题的求解十分有效  相似文献   

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