scholarly journals The features of Saaty analytic hierarchy process application for the choice of modernization strategy of energy objects

2019 ◽  
Vol 114 ◽  
pp. 01001
Author(s):  
Natalia Fedorova
Keyword(s):  
Power Plant ◽  
Analytic Hierarchy Process ◽  
Energy Production ◽  
Alternative Energy ◽  
Thermal Power ◽  
Optimization Methods ◽  
Analytic Hierarchy ◽  
Technological Complex ◽  
Energy Projects ◽  
Hierarchy Process

The article is devoted to identifying the features of application the Analytic Hierarchy Process (AHP) when choosing the modernization strategies to thermal power plant (TPP) subsystems and convert TPP into an energy technological complex (ETC). Criteria for evaluating the effectiveness of alternative energy projects are presented. It is shown that the use of optimization methods makes it possible to reduce the influence of the subjectivity of the decision maker (DM) at the upper levels of the hierarchy. The method of parallel hierarchies is proposed, which allows in one model to take into account the influence of non-subordinate tasks and problems of energy production.

Research of Compensating Weights of Cascade Hydropower Stations

2012 ◽  
Vol 198-199 ◽  
pp. 721-725
Author(s):  
Gan Yi Wang ◽  
Xiang Lin Wu ◽  
Hong Sheng Song
Keyword(s):  
Analytic Hierarchy Process ◽  
Energy Production ◽  
Electric Energy ◽  
Analytic Hierarchy ◽  
Cascade Hydropower Stations ◽  
Calculation Results ◽  
Hydropower Stations ◽  
Hierarchy Process

The compensation benefits distribution weights model of cascade hydropower stations has been proposed. The method of compensation weights calculation has been discussed. The subjective weights in the station indexes are calculated by analytic hierarchy process and the objective weights by variance coefficient and the combination weights by Topsis. The calculation results will be evaluated. The increased benefits of the system will be distributed by the objective weights. The enthusiasm for electric energy production of each station will be increased because they can receive compensations from the whole increased benefits.

scholarly journals Test-Sheet Composition Using Analytic Hierarchy Process and Hybrid Metaheuristic Algorithm TS/BBO

2012 ◽  
Vol 2012 ◽  
pp. 1-22 ◽  
Author(s):  
Hong Duan ◽  
Wei Zhao ◽  
Gaige Wang ◽  
Xuehua Feng
Keyword(s):  
Analytic Hierarchy Process ◽  
Score Test ◽  
Optimization Methods ◽  
Population Based ◽  
Question Type ◽  
Test Time ◽  
Analytic Hierarchy ◽  
Test Sheet ◽  
Composition Problem ◽  
Hierarchy Process

Due to the shortcomings in the traditional methods which dissatisfy the examination requirements in composing test sheet, a new method based on tabu search (TS) and biogeography-based optimization (BBO) is proposed. Firstly, according to the requirements of the test-sheet composition such as the total score, test time, chapter score, knowledge point score, question type score, cognitive level score, difficulty degree, and discrimination degree, a multi constrained multiobjective model of test-sheet composition is constructed. Secondly, analytic hierarchy process (AHP) is used to work out the weights of all the test objectives, and then the multiobjective model is turned into the single objective model by the linear weighted sum. Finally, an improved biogeography-based optimization—TS/BBO is proposed to solve test-sheet composition problem. To prove the performance of TS/BBO, TS/BBO is compared with BBO and other population-based optimization methods such as ACO, DE, ES, GA, PBIL, PSO, and SGA. The experiment illustrates that the proposed approach can effectively improve composition speed and success rate.

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