Optimization of Cloud Manufacturing Service Portfolio Based on Improved NSGA-Ⅲ Algorithm
To solve the service composition problem of complex manufacturing tasks in cloud manufacturing environment and promote the healthy development of cloud manufacturing mode,a multi-objective service composition optimization model is constructed that comprehen-sively considers the interests of service demanders,cloud manufacturing platforms,and service providers.Based on the reverse learning mech-anism and multi-objective population adaptive evolution mechanism,the NSGA-Ⅲ algorithm is improved and applied to solve the multi-ob-jective service composition optimization model.By comparing the mean and variance of fitness in various directions of the NSGA-Ⅲ algo-rithm with the improved NSGA-Ⅲ algorithm,the effectiveness of the latter in solving multi-objective service composition optimization prob-lems was verified.
万方数据
维普
