scholarly journals Competitiveness Evaluation of Chinese Dairy Industry Based on Accelerated Genetic Algorithm Projection Pursuit Model

2020 ◽  
Vol 2020 ◽  
pp. 1-17
Author(s):  
Chen Hongli ◽  
Wu Yanyan ◽  
Liu Xiuli ◽  
Zhang Wenju
Keyword(s):  
Genetic Algorithm ◽  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Dairy Industry ◽  
Projection Pursuit ◽  
Development Trend ◽  
Northern Region ◽  
Positive Trend ◽  
Five Dimensions ◽  
Projection Pursuit Model

Scientific evaluation of the competitiveness of China’s dairy industry is of great significance to the development of regional dairy industry. In view of the fact that the existing evaluation model cannot solve the dynamic nonlinear optimization problem, this paper established a projection pursuit model based on accelerating genetic algorithm and carried on the comprehensive evaluation and dynamic analysis on the competitiveness of dairy industry in China’s 31 provinces and cities (not including Hong Kong, Macao, and Taiwan) from five dimensions, namely, basic factors of production, the industry demand conditions, the enterprise competitiveness and growth force, related and supporting industries, and the natural environmental elements. It was found that firstly, from the perspective of time, the development trend of China’s dairy industry basically shows a positive trend. With the improvement of national living standards, the competitiveness of the dairy industry is also constantly improved. Secondly, from the perspective of space, regional differences in the competitiveness of the dairy industry are significant. Inner Mongolia, Heilongjiang, Shandong, and Hebei are at the forefront of the development of the industry, while the development of the dairy industry in the rest of the region has a big gap with those areas. From the perspective of regional layout, the advantageous region of China’s dairy industry has been preliminarily formed, and the competitive advantage is mainly concentrated in the northern region. Accordingly, the countermeasures and suggestions to enhance the competitiveness of China’s dairy industry were put forward.

Regional comprehensive drought disaster risk dynamic evaluation based on projection pursuit clustering

Water Policy ◽  
2018 ◽  
Vol 20 (2) ◽  
pp. 410-428 ◽  
Author(s):  
Yongnan Zhu ◽  
Lei Li ◽  
Yong Zhao ◽  
Zhongmin Liang ◽  
Haihong Li ◽  
...  
Keyword(s):  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Dimensional Space ◽  
Projection Pursuit ◽  
Development Trend ◽  
Disaster Risk ◽  
Evaluation Index System ◽  
Dynamic Evaluation ◽  
Drought Disaster ◽  
The Development Trend

Abstract We used system theory to analyze the structure of a regional drought disaster system and separated the drought disaster risk system into three subsystems. These were drought disaster-causing factors, disaster-inducing environments, and disaster-bearing bodies. Analysis of the main factors of these subsystems allowed the establishment of a regional comprehensive drought disaster risk evaluation index system. To simultaneously evaluate the distribution and development trends of the regional comprehensive drought disaster risk, we established a dynamic evaluation model. Based on the ideas of the projection pursuit clustering method and the dynamic comprehensive evaluation method, the model can make use of multi-dimensional space–time drought disaster information. The model was applied to evaluate comprehensive drought disaster risk in the Xuzhou region, China. The evaluation results show that the method was able to illustrate the development trend and distribution of the comprehensive drought disaster risk in the Xuzhou region. The clustering zoning results show that Pizhou City is the area with the highest risk in Xuzhou, while Fengxian has the lowest. The development trend of comprehensive drought disaster risk with time is not significant.

Comprehensive Evaluation of Wind Turbine Type Selection Based on GA-SVR Model

2012 ◽  
Vol 468-471 ◽  
pp. 579-582
Author(s):  
Wei Sun ◽  
Le Shen
Keyword(s):  
Genetic Algorithm ◽  
Global Optimization ◽  
Wind Turbine ◽  
Support Vector Regression ◽  
Empirical Analysis ◽  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
High Accuracy ◽  
Support Vector ◽  
Type Selection

Aiming at the current situation of wind turbine type selection in China, this paper has built a more scientific and systematic index system for comprehensive evaluation of wind turbine type selection, and also applied the Support Vector Regression machine evaluation model with parameters optimized by Genetic Algorithm. Through automatic global optimization for parameters, this model has reached an extremely high accuracy required for evaluation of type selection. Empirical analysis shows that the application of this model has a realistic popularized significance for improving the method of the wind turbine type selection and enhancing its efficiency.

Comprehensive Evaluation of Sludge Treatment Schemes Based on Projection Pursuit Model

2014 ◽  
Vol 889-890 ◽  
pp. 1604-1608
Author(s):  
Gong Gao
Keyword(s):  
Comprehensive Evaluation ◽  
Projection Pursuit ◽  
Urban Rivers ◽  
Sludge Treatment ◽  
Evaluation Indexes ◽  
The Public ◽  
New Ideas ◽  
Projection Pursuit Model ◽  
Government Benefits ◽  
Selection Of

To explore new ideas for treating sludge in the urban rivers, 4 different sludge treatment schemes were proposed, the construction safety, projection duration, enthusiasm of the public, environmental coordination, resource utilization, supporting of government, benefits, and project cost of the schemes were selected as the main evaluation indexes, and the projection pursuit model was introduced to evaluate the schemes comprehensively. Results showed that: the evaluation and selection of sludge treatment schemes conformed to the calculation requirements of the projection pursuit model; S3 was the optimal sludge treatment scheme with best comprehensive benefits, the projection value of which was recorded as 1.198, much more than that of other treatments. Therefore, it was concluded that using sludge to produce brick (S3) was more appropriate for the sludge treatment in urban rivers, and which depended on the wide market of bricks and had good practical benefits. The study achievements could provide beneficial basis for the river management and the sludge treatment in cities, and also provide the practical basis for the application of statistical models on the selection of project schemes.

Application of Genetic BP Neural Network in Safety Comprehensive Evaluation of Tailing

2014 ◽  
Vol 687-691 ◽  
pp. 2402-2406
Author(s):  
Song Jiang ◽  
Hui Wen He ◽  
Hong Bo Liu ◽  
Kang Ting Lv
Keyword(s):  
Neural Network ◽  
Genetic Algorithm ◽  
Bp Neural Network ◽  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Threshold Value ◽  
Generalization Ability ◽  
Learning Speed ◽  
Security Levels ◽  
Improved Accuracy

Based on safety assessment factors determined by operation characteristics of a certain tailing ,genetic BP neural network evaluation model is established. To overcome such problems of BP neural network as slow convergence ,poor generalization ability and easy to fall into local minimum value,this paper proposes to use genetic algorithm to optimize threshold value,weights and structure of neural network. Thus,by taking advantage of extensive mapping ability of neural network and global search ability of genetic algorithm,neural network and genetic algorithm will have complementary advantages and the learning speed of network will be accelerated. The application of the described method shows optimized fitting precision,improved accuracy and efficiency ,and enhanced generalization ability of BP neural network. In conclusion,this model can effectively reflect and accurately evaluate non-linear relations between security levels and evaluation factors in tailing.

Research on SOA-Based Decision-Making Support of VE Establishing

2011 ◽  
Vol 314-316 ◽  
pp. 2042-2045
Author(s):  
Tian Rui Zhang ◽  
Yu Yu Chen ◽  
Tian Biao Yu ◽  
Jian Jia Li ◽  
Wan Shan Wang
Keyword(s):  
Decision Support ◽  
Ant Colony Algorithm ◽  
Service Oriented Architecture ◽  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Virtual Enterprise ◽  
Fuzzy Comprehensive Evaluation ◽  
Development Trend ◽  
Evaluation Index System ◽  
Prototype System

Virtual enterprise (VE) is representing the future development trend of enterprise organization mode. This paper introduced the creation process of VE, proposed three phase comprehensive evaluation model based on fuzzy comprehensive evaluation and ant colony algorithm (ACA) for partner selection, gave the evaluation index system model as the evaluation foundation, constructed Service Oriented-Architecture (SOA) based decision support system (DSS) framework in the process of VE establishing and running, and presented the prototype system. Through operating the system, the feasibility of the evaluation model was verified. Finally, the author also gave the development trend and suggestions of VE decision support. This article provided the corresponding theoretical and technical reference for constructing VE.

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