Applied Mechanics and Materials Vols. 321-324

Abstract: Research on an "Granular Evolutionary Neural Network Algorithms (GENNA)" is applied to the complex network. The theory of the granular quotient space is introduced to the neural network. At first input variables of the neural network are granulated to equivalence classes, so that the input variables of the network structure can be simplified, and have certain clustering characteristics and strong diversity, and then the network parameters and the weights are optimized using evolutionary algorithms, so as to avoid neural network to fall into the local extremum.The experimental results show that the algorithm effectively narrow the search space and accelerate the speed of convergence , and It is feasibility and effectiveness.

Abstract: The right panel drawing direction is an important prerequisite for generating qualified parts, an important step before the panel forming simulation is to determine the reasonable direction of the drawing. Manually adjust parts in order to overcome rely on experience, the drawbacks to the drawing direction, the direction of the drawing punch and forming the contact area of the sheet as the goal of automatic determination algorithm. Objective function of the direction of the drawing for the variable contact area in the drawing direction of the feasible region, the use of heritage algorithms to optimize the objective function of the contact area and, ultimately feasible within the contact area corresponding to the drawing direction, that is the best drawing direction. The measured results show that the direction of the drawing based on genetic algorithm, the automatic algorithm can fast and accurate to obtain the optimal direction of drawing.

Abstract: The spatial design of experiment and information subset had been studied by correlated random sequence sampling. The problems in many applied region had been found, such as statistical geology, sampling sequence, and environmental statistics. In all applications, maximum sampling sequence can be selected and different location and times. In maximum sampling sequence design, the feasible design program would be taken when the design domain and time are discrete from the design goal and expected result. The main problem is how to solve the maximum sampling sequence design idea. This is the algorithm GA sequence theory problem. In order to apply the GA design in computer experiments, in many cases, the design space is not possible to calculate accurately. In order to improve the efficient experiment of sampling sequence, the GA algorithm is developed to take advantage of business power of sequence algorithm. The results show that design idea and construction are very efficient for solving the mistake.

Abstract: The right panel drawing direction is an important prerequisite for generating qualified parts, an important step before the panel forming simulation is to determine the reasonable direction of the drawing. Manually adjust parts in order to overcome rely on experience, the drawbacks to the drawing direction, the direction of the drawing punch and forming the contact area of the sheet as the goal of automatic determination algorithm. Objective function of the direction of the drawing for the variable contact area in the drawing direction of the feasible region, the use of heritage algorithms to optimize the objective function of the contact area and, ultimately feasible within the contact area corresponding to the drawing direction, that is the best drawing direction. The measured results show that the direction of the drawing based on genetic algorithm, the automatic algorithm can fast and accurate to obtain the optimal direction of drawing.

Abstract:

Literatureis a kind of cultural historical stage of development to the most full ofvitality shone forth a glorious reflection of the cultural and social Hainan period as the heyday of Dynasty Women Current Literature.The prosperity of the Japanese literature of the Hainanperiod women to create the miracle of the history of Japanese literature, andeven the history of world literature. Learn from foreign cultures at the sametime, the Japanese created their own unique literary genre, such as Storyliterature. From domestic colleges and universities of the Japanese literatureclass status quo, analyzes the problems in the teaching of Japanese literaturefrom four aspects of teaching students of teachers and teaching and thesurrounding environment, to discuss current problems in the Japanese literatureclass.

Abstract: One of the most important factors of management in obtaining organization targets is effectiveness of financial management structures, and user of the financial management structures have more important role in the effectiveness of the structures. The purpose of this research is to study the influence of human factors including personal and individual characteristics of user of financial management structures based on effectiveness PC. For this target, a sample includes 2354 offices, organizations, private companies and organizations than apply financial management structure based-PC. Has been selected randomly and the investigative data has been counting using questionnaires. In order to find personal characteristics of users, the particular questionnaires which are designed according to four factor model of personality, has been done. In order to research the relation between effectiveness of the structure and personality, four hypotheses based on four features of personality. Moreover, in order to find the relationship between expertise (educational level, educational field and amount of training curriculum of PC knowledge), job satisfaction and experience of users, and effectiveness of the accountancy management structure based-PC, some hypotheses have been studied and written. The study results indicates that personal characteristics including Agreeableness, openness, Conscientiousness and experience working , is efficient on the financial management structures based-PC.

Abstract: One of the most important factors of management in obtaining organization targets is effectiveness of financial management structures, and user of the financial management structures have more important role in the effectiveness of the structures. The purpose of this research is to study the influence of human factors including personal and individual characteristics of user of financial management structures based on effectiveness PC. For this target, a sample includes 2354 offices, organizations, private companies and organizations than apply financial management structure based-PC. Has been selected randomly and the investigative data has been counting using questionnaires. In order to find personal characteristics of users, the particular questionnaires which are designed according to four factor model of personality, has been done. In order to research the relation between effectiveness of the structure and personality, four hypotheses based on four features of personality. Moreover, in order to find the relationship between expertise (educational level, educational field and amount of training curriculum of PC knowledge), job satisfaction and experience of users, and effectiveness of the accountancy management structure based-PC, some hypotheses have been studied and written. The study results indicates that personal characteristics including Agreeableness, openness, Conscientiousness and experience working , is efficient on the financial management structures based-PC.

Abstract: Multi-mixed model assembly lines (MMMALs) sequencing cooperative optimization is a typical problem that a variety of products models are assembled in multiple assembly lines. It extends the traditional products sequencing from MMAL to MMMALs. In this paper, we pose products assembly sequencing in multi-mixed model assembly lines (MMMALs) as a multiple-objective optimization problem with the objectives to minimize consumption waviness of each material in the lines, total setup cost and finished product inventory cost. The multi-objective optimization algorithm based on NSGAII is designed. Computational experiment has been demonstrated to the applicability of using NSGAII to solve the problem and effectiveness of the proposed approach. By means of this research, the valid solutions for products assembly sequence can be offered to the decision makers effectively.

Abstract: This paper deals with a real-life two machine scheduling problem for the side frame press shop in a truck manufacturing company. The shop consists of two machines where only the first machine, press machine, has separable, external and sequence dependent setup times. Moreover all the jobs require processing by the press machine more than once in their operation sequences with re-entrant work flows. Redefining the job elements, the problem is transformed into a general two machine flow shop problem which has a set of job-element precedence constraints. To solve the problem, an ant colony optimization (ACO) algorithm with the objective of the minimum makespan is developed. We investigate performance of the proposed ACO algorithm through the comparative study. Experiment results show that the proposed algorithm is more effective than existing method for the problem.

Abstract: In many applications, it is necessary to adjust the node position of complete binary tree, making the data set have the nature of heap. Because when binary tree node data volume is huge, it will be needed apparently for heap adjustment efficiency of repair algorithms which is based on heap linear list to be improved. Now an improved algorithm is proposed by experiments, which utilizes characteristics of priority queue (delete the earliest data) and stack (delete the latest data), and conducts stack pushing on binary tree node, then accesses node successively to call glide adjustment algorithm to improve the adjustment efficiency.