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

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...

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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 manufacturing resources are allocated reasonably and fully Using existing manufacturing and processing resources to minimize the total production cost is the ultimate goal of the enterprise. The current manufacturing industry urgently needs to solve the problem of poor resource allocation in order to better guide production.

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