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A new discrete imperialist competitive algorithm for QoS-aware service composition in cloud computing

机译:一种新的离散帝国主义竞争算法在云计算中的QoS感知服务组合

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In this paper, an effective Discrete Imperialist Competitive Algorithm (DICA) is proposed to solve the QoS-aware cloud service composition problem, which is known as a non-polynomial combinatorial problem. To improve the global exploration ability of DICA, as inspired by the solution search equation of Artificial Bee Colony (ABC) algorithm, a new discrete assimilation policy process is proposed, and differently from the assimilation strategy of the original ICA, colonies moved toward their imperialists by integrating information of other colonies in the moving process. To enhance the local exploitation of DICA and to accelerate the convergence of our algorithm, the proposed assimilation process is also applied among imperialists. The performance of the proposed DICA is evaluated by comparing DICA with other recent algorithms, and the obtained results show the effectiveness of our DICA.
机译:在本文中,提出了一种有效的离散帝国主义竞争算法(DICA)来解决QoS感知云服务成分问题,称为非多项式组合问题。为了提高DICA的全球勘探能力,因为由人工蜂殖民地(ABC)算法的解决方案搜索方程的启发,提出了一种新的离散同化政策过程,与原始ICA的同化策略不同,殖民地迁移到帝国主义者通过将其他殖民地的信息集成在移动过程中。为了增强DICA的当地开发和加速我们算法的收敛,帝国主义者也适用于拟议的同化过程。通过将DICO与其他近期算法进行比较来评估所提出的DICA的性能,并且获得的结果表明了我们的二所的有效性。

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