Aiming at the problem of solving the optimal allocation model of cloud manufacturing resources,based on the basic cuckoo algorithm (CS),an improved adaptive cuckoo algorithm (SAACS) was proposed,it was applied to solve the problem of optimizing resource allocation of cloud manufacturing.The improved adaptive cuckoo algorithm adaptively adjusted step size of Levy flight and partial parameters from basic cuckoo algorithm,introduced two-way search strategy and simulated annealing idea,it can quickly obtain the optimal solution in resource allocation operation and identify an optimal resource service chain.Finally,the feasibility and validity of the improved adaptive cuckoo algorithm to solve the resource allocation model are demonstrated by simulation example.%针对云制造资源优化配置模型求解的相关问题,在基本布谷鸟算法(CS)的基础上提出了一种改进自适应布谷鸟算法(SAACS),并将其应用于求解云制造优化资源配置问题.改进自适应布谷鸟算法对基本布谷鸟算法的部分参数和Levy飞行步长做了自适应性调整,加入了双向搜索策略,并引入模拟退火思想,可以在云制造资源配置中快速地求出最优解,获得一条最优资源服务链.最后通过算例验证了该算法求解资源配置问题的有效性和准确性.
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