The Similar dual of a Subnormal Operator

The problems of similar dual of subuormal operators are discussed.The symmetry of similar dual of the pure subnormal operator are proved and necessary and sufficient conditions that the similar pure subnonmal operatorha similar minimal normal extention are given and meanwhile the subnormal weighted shift of operators also discussed.     

The Practice of Two-dimension Rights Control in the Road Transportation Management System

Rights control is the central part of MIS(management information system) security management .Common rights control which bases the character and the operator can resolve the One-dimension rights management.Rights control based on the operator leads to the large workloads, the operation becomes unpractical when it is dealing with those units that are big and multiclass. On the other hand, rights control based on the character can release the workloads but it also brings us the confusion of duties and the data operation. The model and the practice of Two-dimension rights control are mentioned.The key property is the rights' self-maintenance of the units and the operators. It strongly supports the least work of the DBA(Database Administrator), insure the security of database and the exclusive DBA in the system. The two-dimension rights control has been used in the road transportation management system for 4 years by 42 units all over the Chongqing City with high praise of the users.     

Dynamic scheduling method of vehicle air-conditioning assembly shop based on feedback control

By analyzing the inherent uncertainties, discrete uncertainties and external environmental uncertainties, a dual-feedback control strategy and the dynamic scheduling method are proposed to solve the dynamic scheduling problem of vehicle air-conditioning assembly shop under uncertainty. Considering the reentrant constraint, equipment capacity constraint, and time discrete constraint etc., the multi-objective scheduling model of vehicle air-conditioning assembly shop is set up,taken the earliness/tardiness, process time, production cost and quality loss as optimization objectives. According to the characteristic of the model, sectional chromosome encoding, crossover operator and mutation operator are designed to prevent the generation of illegal solutions and improve efficiency of the algorithm. An example is given to prove the feasibility and validity of the approach.     

在新版《有机产品》标准和相关法规要求下做好有机产业的初探

为进一步完善有机产品认证制度,规范有机产品生产、加工和销售活动,国家认证认可监督管理委员会（以下简称国家认监委）对《有机产品》国家标准和对《有机产品认证实施规则》进行了修订,并制定了《有机产品认证目录》。在当前新标准和新法规出台的形势下,从事有机产品生产的企业如何做好有机产业,是一个大家共同关注的问题,也是迫在眉捷、亟需解决的问题。笔者重点介绍了中国新版有机产品标准和法规体系修订的重点内容,同时指出在新版有机产品标准及相关法规体系下企业如何做好有机产业,即：（1）企业领导应该高度重视;（2）注重人才培养;（3）选择合适的有机农业生产模式;（4）加强与认证机构、地方质检和工商部门的沟通。     

改进遗传算法在饲料配方设计中的应用

针对现有饲料配方软件的局限性,以白绒山羊饲料配方为例,提出一种基于改进遗传算法的求解方法。与标准遗传算法相比,采用随机联赛选择替代轮盘赌模型,优化了选择策略;采用不同的随机数交叉和高斯变异,改进了交叉算子与变异算子。测试结果表明,该方法具有良好的运算效率,拓宽了搜索空间,提高了对重点区域的搜索能力,降低了成本,为复杂问题的优化提供了一种新的思路。     

基于马斯洛需要层次理论的休闲农业开发探讨

休闲农业的设计与运作根据马斯洛需要层次需求理论,满足人们由生理、安全到自我实现的需求,可以为人们提供丰富的休闲产品与休闲体验。本文提出用“功能涵盖性”的原则界定“休闲农业”概念,并在分析休闲农业的多功能特性与产业本质的基础上,运用马斯洛需要层次需求理论,从管理者、经营者两个方面提出了休闲农业开发的思路。     

Dynamical niche sets-based cooperativeevolutionary algorithm for job shop scheduling

Job shop scheduling is an important part of manufacturing process. Pre-mature, local optimal solution or low convergence rate of Genetic Algorithm may come across in solving scheduling problem in multi-Job shop. To avoid those unhealthy tendencies, this paper introduced the Dynamical Niche Sets-based Cooperative Evolutionary Algorithm model.In the Algorithm, Process-based chromosome encoding method was used; the crossover operator and mutation operator were designed to adjust operation sequences and choose process routes. The cooperative scheduling problem in multi-Job shop was solved using dynamical niche sets technology and multi-population cooperative evolution method. The Experiment result shows the proposed method has good advantages.     

A New Heuristic Evolutionary Programming and Its Application in Solution of the Optimal Power Flow

A new algorithm,based on the combination of the evolutionary programming with the traditional gradient adjustment technique,is presented for solving the optimal power flow problem which describes some technical problems(representations of candidate solutions,evaluation function,mutation operator).Its efficiency is higher than that of general evolutionary programming.     

Fuzzy c-means Cluster Over Gentic Algorithm

Fuzzy c-means (FCM) algorithm is dynamic cluster algorithm whose result often is local optimal decision. There often exists insignificant clustering in the result of Fuzzy c-means algorithm when traditional union, Intersection and inclusion work in fuzzy set. Our research indicates there are no insignificant clustering in the result of Fuzzy c-means algorithm over genetic algorithm and partial optimal solution can be avoided with this algorithm to a certain extent. The coding, select, corresponding crossover and mutation operators are designed. Finally we compared the performance of GFCM and FCM with testing data. Results show that the performance of GFCM is far better than FCM.     

Status Quo and Expectation of Human-machine Interaction in HCR

Human-centered idea and human-machine collaboration are emphasized in the Human Centered Robotics, which is mainly used for human-machine cooperation required mission in dynamic and non-structural environment. This paper presents a WearComp based interface that gets over the space and time limitation on human-robot interaction. By adapting AR(augment reality) in outputting channel, the information of robotics status and warning was accentuated in the transmission. That method effectively saves the resources of transmission band and reappearance, lightens the burden of operators and contributes to a good operator consciousness to local condition and remote environment. By parallel and mutual compensation of MultiModality interaction, and by integrating and fusing the redundant information, the ambiguity and noise of inputting information can be eliminated. All of above get rid of input bottleneck; a more efficient and humanistic human machine interaction is provided.     

Evolutionary Programming Solution of Economic Dispatch with Valve Point Loading

This paper describes an application of evolutionary programming (EP) to economic dispatch with valve point loading.Some technical problems (representations of candidate solutions,evaluation function,mutation operator) have been solved to expand the applica be prospects of the computatimal methods of economic dispatch.The proposal method is applied to a 6 bus 3 generator system and compared with the genetic algorithm(GA).Numerical results demonstrate the validity and effectiveness.     

Prediction of coal and gas outburst intensity with Incorporate GeneticAlgorithm Based Back Propagation Neural Network(IGABP)

For the prediction of coal and gas outburst intensity, Incorporate Genetic Algorithm Based Back Propagation Neural Network(IGABP) is proposed to solve the limitations in the traditional GABP such as time consuming, optimal stop condition of GA pretreatment indeterminacy, independency and complex task of great importance etc. IGABP addresses some improvements in adaptive crossover and mutation probability to promote GA performance. And with the introduction of BP operator in the evolution of GA operations, the standard GA optimization is from random search to self guiding search and the convergence rate of GA is upgraded, as well as the determination ability of exact solution. With a simulation as a case study, it is found that the minimum error and standard error with IGABP are 0.012 and 0.227, respectively, compared with -0.126 and 1.529 by traditional GABP.     

Distribution Network Structure Planning Based on Improved Immune Genetic Algorithm

Distribution Network Structure planning is a complex combinatorial optimization problem,which is difficult to solve properly by using traditional optimization methods.In order to solve this problem,Improved Immune Genetic Algorithm is introduced to the distribution network optimal planning. Improved Immune Genetic Algorithm draws into the immune diversity and antibody's density mechanism to maintain the individual's diversity and remains evolution algorithm's global stochastic searching ability,so it can promote diversity and the whole optimal-searching ability of genetic algorithm.The optimal module takes the minimum annual cost as its object,and the capacity and voltage drop of feeder and the radiation of distribution network as its restrictions.According to the require of radiation of distribution network,the spanning tree of the alternative network is taken as the initial solution to speed up the calculation.And the branch-exchange method is used in designing crossover operator and mutation operator to avoid the radiation checking and enhance the optimizing ability.This algorithm has been illustrated effectively by examples,at the same time,the calculation example demonstrates that,the algorithm has higher calculation speed than the traditional immune genetic algorithm.     

Application of Improved Multi-population Genetic Algorithm to Damage Identification of Soil-wall System

The method of damage identification in soil-wall system was studied; a new approach based on improved multi-population genetic algorithm (IMGA) was developed. First, the simplified dynamic-detection model of soil-wall system was established, meanwhile, the theoretical analysis of characteristic equations in soil-wall system was conducted when soil in damage status. The objective function based on characteristic equations was established. Then, the improvements of multi-population genetic algorithm, including the adoption of real-valued representation, adaptive cross operator and adaptive mutation operator, were conducted. Finally, the localization and quantification of the soil-wall system damage were performed by IMGA with and without the consideration of noise, respectively. The results indicate that damage location and damage extent can be detected efficiently, and anti-noise performance is better.     

基于改进蚁群算法的低碳冷链物流配送模型优化与应用

实现持续低碳化发展是冷链物流技术创新与优化的重要方向。基于成本约束视角,将冷链物流存储、配运、交付诸环节的运营成本和碳排放成本纳入企业总成本目标函数,构建冷链物流配送路径优化模型,使用蚁群算法与遗传算法变异算子结合求解,提高了算法迭代收敛速度。以医药冷链物流配送为例进行算法仿真优化与分析,验证了降低物流成本与节能减排可协同优化,获得良好的经济效益。模型和算法对环境可持续视角下的冷链物流配送路径问题有理论和实践意义。     

Stability Ishikawa Iteration Procdeure for Strongly Pseudocontractive Operator and Strongly Accretive Operator Equations

By virtue of some analysis techniques,it is proved that certain ishikawa iteration procdeure with errors are stable with respect to strongly pseudocontractive operators in real Banach space. A related result deals with stable iteration procedures for solution of the nonlinear equation of strongly accretive operators. The results presented extend and improve the corresponding by Osilike,Zeng, Chidume, Deng, Liu,et al.     

绿色发展下新型农业经营主体在乡村振兴中的功能及发展策略

在实施乡村振兴战略进程中,现代化的农业生产和经营体系的构建非常重要,而通过发展形式多样的农业规模化经营,不但可以解决农业生产效率低的问题,还能推进农业农村现代化。新型农业经营主体作为特殊的经营主体,基本覆盖了目前中国农业的上、中、下游生产组织形式,参与和衔接了农业产业链的不同环节。本文从新型农业经营主体的发展内涵和现状,功能定位以及新型农业经营主体在发展质量、土地使用规模、金融制度建设、人才培育体系、产业深度融合发展、服务农户的能力和意识及信息化和数字化意识方面存在的问题和发展策略进行了总结和分析。目的是使新型农业经营主体在集约化、专业化、组织化、社会化这四大特征方面发展更加完善,在中国绿色农业发展和推动乡村振兴中发挥更大作用。     

Game Analysis of Banking Supervision

Banking has a high gearing lever and its operators are keen to the risk projects with the lure of high income. The supervision sector should regulate the banks and force them to reduce risks to ensue the healthy circulation of county's economy. The supervisor should report the disclosed risks to the supervision sector so that they can alert the risks in advance and control them ,but the sector must take action to prevent the collusion between the operators and supervisors.     

微生物物理诱变育种方法的研究进展

微生物育种是近年来研究的热点,在现代食品工业及发酵工业中诱变育种是一个重要途径。在了解传统物理诱变育种的基础上,列举了一系列新的诱变手段,如离子注入、微波、激光、超高压、空间等新的诱变因素及诱变剂的出现,为物理诱变技术增加了很多亮点,进一步提高了诱变育种的效率和成功率。     

绵羊繁殖性状主基因研究进展

综述了绵羊BMPR-IB基因、BMP15基因和GDF9基因突变的遗传方式及对产羔数的影响,还对根据表型发现的Woodlands基因、Thoka基因、GDF9基因的遗传方式以及根据表型推断存在的Olkuska基因、Belle-Ile基因、NZ Longwool基因进行了综述,旨在为生产中利用这些遗传标记作为辅助育种技术提供理论参考。