Manufacturing service supply chain optimization method based on service relevance

A technology of manufacturing services and optimization methods, applied in manufacturing computing systems, artificial life, data processing applications, etc., can solve problems such as falling into local optimum, and achieve the effect of improving performance

Active Publication Date: 2018-03-30
ZHEJIANG UNIV OF FINANCE & ECONOMICS
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  • Abstract
  • Description
  • Claims
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Problems solved by technology

[0005] The purpose of the present invention is to provide a manufacturing service supply chain optimization method and system based on service correlation, so as to avoid the problem that the existing pollen algorithm is easy to fall into local optimum and improve the overall performance of the algorithm

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  • Manufacturing service supply chain optimization method based on service relevance
  • Manufacturing service supply chain optimization method based on service relevance
  • Manufacturing service supply chain optimization method based on service relevance

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Embodiment Construction

[0043] The technical solution of the present invention will be described in further detail below in conjunction with the accompanying drawings and embodiments, and the following embodiments do not constitute a limitation of the present invention.

[0044] For any multi-objective optimization problem in the field of manufacturing service supply chain, there must be corresponding manufacturing tasks (referred to as tasks) that need to be completed. Optimal manufacturing service combination scheme to complete the manufacturing tasks that need to be completed. The manufacturing service supply chain optimization method based on service correlation in this embodiment solves the manufacturing service supply chain optimization problem. It is an improved pollen algorithm, and the population of the algorithm is composed of multiple individuals. Each individual represents a manufacturing service combination scheme, and the initial population needs to be randomly generated during initiali...

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Abstract

The invention discloses a manufacturing service supply chain optimization method based on service relevance. Firstly, an initial population corresponding to manufacturing tasks is acquired, and is used as a current population to start iteration; in iteration, firstly, crossover operator operations and mutation operator operations are executed on the current population, and then a self-adaptive transition probability and a scaling factor are adopted for iteration of a flower pollination algorithm (FPA); and whether an iteration termination condition is met is judged after one time of iteration,if yes, stopping iteration, and outputting an optimal individual, and otherwise, continuing iteration until the iteration termination condition is met. According to the method of the invention, the basic-type flower pollination algorithm and a crossover operator and a mutation operator of a genetic algorithm (GA) are fused, and performance of the algorithm is improved, and is superior to that ofthe genetic algorithm, that of differential evolution (DE) and that of the basic-type flower pollination algorithm when the manufacturing service supply chain optimization problem is solved.

Description

technical field [0001] The invention belongs to the technical field of manufacturing service supply chain optimization, in particular to a method for optimizing a manufacturing service supply chain based on service correlation. Background technique [0002] With the development of the Internet and cloud computing, the cloud manufacturing platform brings together a large number of manufacturing services with the same or similar functional attributes but different non-functional attributes (QoS). Many manufacturing companies package their manufacturing products, manufacturing resources, and manufacturing capabilities into manufacturing services and upload them to the cloud manufacturing platform. These services can be divided into different candidate service sets according to their functional characteristics to perform different manufacturing tasks. Therefore, the manufacturing service composition problem is to select the appropriate meta-manufacturing service from the corres...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q10/06G06Q50/04G06N3/00
CPCG06N3/006G06Q10/04G06Q10/0633G06Q50/04Y02P90/30
Inventor 张文宇张帅
Owner ZHEJIANG UNIV OF FINANCE & ECONOMICS
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