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Multi-target electronic product CTO order recommendation method based on NSGA2

A technology of electronic products and recommendation methods, which is applied in the field of multi-objective optimization and can solve problems such as difficulty in user selection

Inactive Publication Date: 2020-11-17
GUILIN UNIVERSITY OF TECHNOLOGY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, there are many kinds of electronic products in the market and the products are updated quickly, which brings great difficulties for users to choose.

Method used

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  • Multi-target electronic product CTO order recommendation method based on NSGA2
  • Multi-target electronic product CTO order recommendation method based on NSGA2
  • Multi-target electronic product CTO order recommendation method based on NSGA2

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Experimental program
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Embodiment Construction

[0059] Preferred embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0060] In order to achieve the purpose of the present invention, a multi-target electronic product CTO order recommendation method is proposed, which is implemented based on the NSGA2 algorithm. A kind of NSGA2-based multi-objective electronic product CTO order recommendation method The specific implementation steps are as follows:

[0061] S1: Build a multi-objective optimization model for electronic product CTO orders;

[0062] S2: After the model construction in step S1 is completed, use the NSGA2 algorithm to solve the model to obtain the Pareto non-dominated set;

[0063] S3: According to the result obtained in step S2, the obtained Pareto non-dominated set is sorted based on the weight.

[0064] In order to further optimize the implementation effect of the present invention, in some other embodiments, the rest of the characteristic te...

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Abstract

The invention discloses a multi-target electronic product CTO order recommendation method based on NSGA2, and the method specifically comprises the following steps: S1, building an electronic productfunction positioning target closeness degree, power consumption and cost target function, and carrying out the modeling of the CTO order recommendation of an electronic product as a multi-target optimization problem; and S2, after the preparation work in the step S1 is completed, solving the model by using an NSGA2 algorithm to obtain a Pareto non-dominated set. And S3, sorting the plurality of disordered orders of the Pareto non-dominated set by using a method of setting a weight by a user to obtain a plurality of ordered electronic product CTO recommendation orders. According to the method,the NSGA2 algorithm and the method for setting the weight by the user are utilized, a plurality of orders meeting personalized requirements can be rapidly recommended to the user, dynamic adjustment of the weight by the user can be rapidly adapted, and the method has flexibility.

Description

technical field [0001] The invention relates to the field of multi-objective optimization, in particular to an NSGA2-based multi-objective electronic product CTO order recommendation method. [0002] technical background [0003] CTO (configure-to-order) originated from user needs and preferences, and its purpose is to effectively and quickly meet the individual needs of users and enhance the core competitiveness of enterprises. With the continuous improvement of customer demand for products, CTO has become the key to meet the uncertainty and complexity of user needs. Although the CTO model can provide users with a variety of choices in terms of products, it requires enterprises to be able to use related algorithms such as constraints between product structures and configuration rules to realize product design, process preparation, and organize production to meet the special needs of users. [0004] The traditional CTO mode is to establish a constraint relationship from the ...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q30/06G06N3/12
CPCG06Q10/04G06Q30/0631G06Q30/0635G06N3/126
Inventor 叶恒舟韩海峰李神美
Owner GUILIN UNIVERSITY OF TECHNOLOGY
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