Projection Pursuit Model Selection in the Shaft Construction under Complex Conditions Application

2012 ◽  
Vol 485 ◽  
pp. 88-92
Author(s):  
Sheng Li Ai ◽  
Li Li He ◽  
Mu Jie Chen
Keyword(s):  
Genetic Algorithm ◽  
Model Selection ◽  
Projection Pursuit ◽  
Selection Model ◽  
Evaluation Index ◽  
One Dimension ◽  
Engineering Practice ◽  
Projection Pursuit Model ◽  
Selection Of

To overcome the shortcomings of the selection of shaft construction under complex conditions, a selection model for the construction plan based on projection pursuit (PP) was presented. The genetic algorithm was employed to realize the projection pursuit. And the values of the evaluation index were synthesized into a one-dimension projection value which was used to finish the plans. The genetic algorithm was employed to realize the projection pursuit. And the values of the evaluation index were synthesized into a one-dimension projection value which was used to finish the plans. Engineering practice shows that the method can realize the assessment simply, objectively and feasibly. This work has significance for the selection of shaft construction under complex conditions.

scholarly journals Identify and Assess Hydropower Project’s Multidimensional Social Impacts with Rough Set and Projection Pursuit Model

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-16
Author(s):  
Hui An ◽  
Wenjing Yang ◽  
Jin Huang ◽  
Ai Huang ◽  
Zhongchi Wan ◽  
...  
Keyword(s):  
Rough Set ◽  
Index System ◽  
Social Impact ◽  
Projection Pursuit ◽  
Cultural Development ◽  
Evaluation Index System ◽  
Assessment Model ◽  
Evaluation Index ◽  
The Social ◽  
Projection Pursuit Model

To realize the coordinated and sustainable development of hydropower projects and regional society, comprehensively evaluating hydropower projects’ influence is critical. Usually, hydropower project development has an impact on environmental geology and social and regional cultural development. Based on comprehensive consideration of complicated geological conditions, fragile ecological environment, resettlement of reservoir area, and other factors of future hydropower development in each country, we have constructed a comprehensive evaluation index system of hydropower projects, including 4 first-level indicators of social economy, environment, safety, and fairness, which contain 26 second-level indicators. To solve the problem that existing models cannot evaluate dynamic nonlinear optimization, a projection pursuit model is constructed by using rough set reduction theory to simplify the index. Then, an accelerated genetic algorithm based on real number coding is used to solve the model and empirical study is carried out with the Y hydropower station as a sample. The evaluation results show that the evaluation index system and assessment model constructed in our paper effectively reduce the subjectivity of index weight. Applying our model to the social impact assessment (SIA) of related international hydropower projects can not only comprehensively analyze the social impact of hydropower projects but also identify important social influencing factors and effectively analyze the social impact level of each dimension. Furthermore, SIA assessment can be conducive to project decision-making, avoiding social risks and social stability.

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.

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.

The Architect Test Sample Selection Model and its Application Based on Genetic Algorithm

2012 ◽  
Vol 174-177 ◽  
pp. 2029-2035
Author(s):  
Qiang Li ◽  
Hui Min Li ◽  
Hai Lan Jiang ◽  
Feng Yuan
Keyword(s):  
Genetic Algorithm ◽  
Process Model ◽  
Sample Selection ◽  
Test Sample ◽  
Selection Model ◽  
Model Property ◽  
Sample Selection Model ◽  
Model Sample ◽  
Property Model ◽  
Selection Of

This paper introduces the researches and applications based on genetic algorithm in the sample selection of papers. We followed the steps of the work and separate the model of four sub models: the pre-process model, sample selection model, property model and reefed model. We consider form all aspect which may affects the decision of sample selection and solve them. Form the instance, the genetic algorithm we discussed can improve the reliability and efficiency of the national first degree architecture test on some degree.

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