Logistics supply chain coordination optimization method based on improved ant colony labor division model
A logistics supply chain, collaborative optimization technology, applied in logistics, computational models, biological models, etc., can solve the problems of poor coordination and low efficiency of logistics supply chain
Active Publication Date: 2012-12-19
东兴明白跨境电子商务有限公司
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[0006] The present invention aims to overcome the disadvantages of poor synergy and low efficiency in the existing logistics supply chain, and proposes a logistics supply chain collaborative optimization method based on the improved ant colony division of labor model, which supports the business collaboration and resource optimization allocation of supply chain member companies, and improves efficiency
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[0044] The present invention will be further described in detail in conjunction with the accompanying drawings and specific embodiments.
[0045] The logistics supply chain collaborative optimization method based on the improved ant colony division of labor model proposed by the present invention comprises the following steps:
[0046] 1) The description method of individual response threshold based on ability evaluation: Assume that the individual ability evaluation indicators of an enterprise agent include financial indicators, work sincerity, budget plan, work area, main consumer groups, etc. m, that is, c 1 , c 2 ,... c m . Based on these indicators, experts or according to statistical clustering analysis, the enterprise Agent's own capabilities are quantitatively divided into n levels, and they are described as the following qualitative and quantitative comprehensive evaluation matter-element model, that is, the classical domain matter-element, with M 0j express:
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The invention contains the knowledge of the fields of cluster intelligence and optimization scheduling technique, and particularly relates to a logistics supply chain coordination optimization method based on an improved ant colony labor division model, which is particularly suitable for the problems of business collaboration and resource optimization of logistics supply chain membership companies. According to the method, the improved ant colony labor division model is introduced to solve the problems of logistics supply chain collaboration and optimization, wherein firstly, the production and operation capacities of supply chain members are obtained through individual ability evaluation; secondly, in combination with a benefit driving thought, a business distribution and resource sharing mechanism of the membership companies is determined; and finally, an optimal logistics supply chain coordination result can be obtained. With the adoption of the method, the defects of a traditional logistics supply chain coordination optimization method are overcome effectively; a logistics supply chain coordination management mechanism is established; and thus, the method has a good application value.
Description
technical field [0001] The invention includes knowledge in the technical field of swarm intelligence and optimal scheduling, and specifically relates to a collaborative optimization method for a logistics supply chain based on an improved ant colony division of labor model. It is especially suitable for business collaboration and resource optimization of supply chain members. technical background [0002] With the rapid development of communication technology, computer technology and network technology, people put forward higher and newer requirements for efficient and intelligent technology. However, in view of the complexity, constraints, nonlinearity and modeling difficulties of practical problems, it has become the focus of more and more researchers to find various emerging intelligent computing technologies suitable for the practical needs of the field. Swarm intelligence provides the basis for finding solutions to complex distributed problems without centralized contr...
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Login to View More IPC IPC(8): G06Q10/06G06Q10/08G06N3/00
Inventor 肖亮谢宏王铜安袁霄陈庭贵许翀寰
Owner 东兴明白跨境电子商务有限公司