A cloud manufacturing resource configuration method based on an improved whale algorithm

A technology of resource allocation and cloud manufacturing, applied in manufacturing computing systems, computing, computing models, etc., can solve problems such as poor resource allocation, low resource utilization, and decentralization of manufacturing resources

Pending Publication Date: 2019-06-18
CHANGAN UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0003] my country is the country with the most manufacturing and processing resources in the world today. However, due to common problems such as backward manufacturing models, low resource utilization, decentralization and regionalization of manufacturing resources, serious waste is caused, and manufacturi...

Method used

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  • A cloud manufacturing resource configuration method based on an improved whale algorithm
  • A cloud manufacturing resource configuration method based on an improved whale algorithm
  • A cloud manufacturing resource configuration method based on an improved whale algorithm

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Experimental program
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Effect test

Embodiment

[0136] This embodiment is an example of gear processing with eight basic tasks, namely rough turning, finishing turning, drilling, milling, chamfering, grinding, grinding and pairing. All resources are distributed in four areas A, B, C, and D, and the final product is sent to area E after processing; see Table 2 and Table 3 for specific information.

[0137] Form 2 Transportation Information Form

[0138]

[0139]

[0140] Table 3 Processing resource information

[0141]

[0142]

[0143] Solving process:

[0144] 1. According to the requirements, the weight coefficients of the four aspects of time, cost, quality and service feedback are obtained by solving the AHP, ω 1 = 0.17, ω 2 = 0.30, ω 3 = 0.35, ω 4 =0.18; T max =400,C max =200, Q min = 4, F min =5.

[0145] Second, use the traditional genetic algorithm (using roulette), the basic cuckoo algorithm, and the improved whale algorithm to solve the problem. The evaluation function is the objective funct...

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PUM

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Abstract

The invention discloses a method for cloud manufacturing resource optimization configuration based on an improved whale algorithm, and the method comprises the steps: building a problem model, and defining a fitness function; setting improved whale algorithm parameters, and generating an initial population; Calculating fitness values of all individuals in the population, obtaining a current optimal resource allocation scheme and converting the current optimal resource allocation scheme into whale individual position vectors; Introducing a parameter p, and judging whether p is less than or equal to 0.5; If not, performing spiral motion iteration updating to complete population updating; If yes, whether the value A (1) of the coefficient vector of the improved whale algorithm is met or not is judged; If yes, performing shrinkage encircling iteration updating; If not, performing random search predation iteration updating; Obtaining a current optimal resource configuration scheme; Adding 1to the number of iterations, and judging whether the current number of iterations is smaller than the maximum number of iterations; If yes, repeating the operation; And if not, outputting the currentoptimal resource configuration scheme. The whale algorithm is improved, so that the algorithm convergence speed is higher, the optimal solution is easier to achieve, and a new method is provided forsolving the problem of resource allocation.

Description

technical field [0001] The invention belongs to the technical field of job scheduling, and in particular relates to a method for optimal configuration of cloud manufacturing resources based on an improved whale algorithm. Background technique [0002] The development of cloud computing technology has changed the development model of the global manufacturing industry. The diversification of market demand, individualization and rapid product replacement all urgently require the adjustment and transformation of the industrial structure. Cloud manufacturing is a new network-based, service-oriented intelligent manufacturing model. As one of the core issues of cloud manufacturing, the quality of manufacturing resource optimization allocation methods in cloud manufacturing environment will directly affect the quality of manufacturing services, which is related to service Whether the process can be carried out safely and smoothly. [0003] my country is the country with the most m...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q50/04G06N3/00
CPCY02P90/30
Inventor 栾飞吴书强蔡宗琰李富康杨嘉
Owner CHANGAN UNIV
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