Research on Resource Instantiation Scheduling Algorithm for Industrial Operating Systems Based on Improved Whale Optimization Algorithm
When managing manufacturing resources through Resource Instantiation Scheduling(RIS)technology,industrial operating systems face numerous production resources that are functionally similar but vary in service quality,leading to complex resource selection and configuration.To address this problem,a Golden Cauchy Whale Optimization Algorithm(GCWOA)is proposed to optimize the RIS problem and improve the service quality by combining the Tent chaotic mapping,the golden ratio and the Cauchy mutation operator.Validation through simulation experiments of various scales demonstrates that GCWOA exhibits significant advantages.Compared to genetic algorithms,traditional whale optimization algorithms,and two improved whale optimization algorithms,GCWOA achieves an average solution accuracy improvement of 5.6%and an average time efficiency increase of 2.35 times.These results strongly demonstrate the efficiency and practicality of GCWOA in solving RIS problems,providing a powerful optimization tool for resource management in industrial operating systems.
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