Improved optimization method

An optimization method and improved technology, applied in design optimization/simulation, special data processing applications, instruments, etc., can solve problems such as inappropriate optimal results, inability to reflect the weight of different influencing factors, etc., to achieve the effect of scientific decision-making

Pending Publication Date: 2019-04-09
CHINA INST FOR RADIATION PROTECTION
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Problems solved by technology

It is inappropriate to use the geometric mean method to process the maximum utility value under different influencing factors to obtain the optimal result, and it cannot reflect the weight of different influencing factors. It is necessary to improve the existing multi-attribute utility analysis method

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Embodiment Construction

[0031] The present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0032] figure 1 A flow chart of an improved optimization method provided in the specific embodiment of the present invention is shown, and the method mainly includes:

[0033] The front-end processing is carried out through the multi-attribute utility analysis method, and the basic conditions for satisfying the steepest descent method are obtained. The front-end processing specifically includes:

[0034] First, determine the utility function for each influencing factor to be considered,

[0035] Then, calculate the utility value corresponding to each alternative, that is, the partial utility value,

[0036] Finally, for the weight combination of different influencing factors, compare the total utility value u of each alternative respectively i , the total utility value u i The higher plan is superior;

[0037] After front-end pr...

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Abstract

The invention discloses an improved optimization method, which comprises the following steps: carrying out front-end processing through a multi-attribute utility analysis method to obtain basic conditions meeting a steepest descent method, and after the front-end processing, for the situation of weight combination of different influence factors, enabling each highest total utility value ui to correspond to a corresponding alternative scheme Pi; Establishing a steepest descent method optimization model for selecting an optimal scheme from the plurality of alternative schemes Pi; And carrying out tail end data processing of the multi-attribute utility analysis method through the optimization model, thereby obtaining an optimal result (P-optimization, u-optimization). According to the method,a steepest descent method is adopted to process maximum utility values under different influence factors, and weights of the different influence factors are considered at the same time, so that an optimal result is obtained, and decision making is more scientific.

Description

technical field [0001] The invention relates to the technical field of optimization analysis, in particular to an improved optimization method. The optimization method especially refers to the multi-attribute utility analysis method in the optimization decision analysis method. Background technique [0002] In the optimization decision analysis (also known as optimization analysis) method, the multi-attribute utility analysis method is developed from several disciplines such as engineering, management, and psychology. It is a decision-making method with a wide range of uses. Its outstanding feature is that it can quantify factors that are difficult to quantify with money, so that it can make quantitative judgments on issues that can only be analyzed qualitatively, making decision-making more scientific. [0003] In the multi-attribute utility analysis method, the utility function is first determined for each influencing factor to be considered, then the corresponding utilit...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50
CPCG06F30/20
Inventor 王猛赵杨军杨洁廉冰康晶
Owner CHINA INST FOR RADIATION PROTECTION
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