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Intelligent optimization algorithms have now become important means for solving global optimization problems. The imperialist competitive algorithm (ICA) is a nature-inspired meta-heuristic algorithm that imitates social behavior. ICA has been widely used in optimization problems, however, ICA tends to fall into a local optimal solution because of...
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... with DE-ICA, the optimization ability is slightly improved after the addition of differential evolution, but the effect is not very significant, while the optimization ability is improved to a certain extent after the addition of a spiral rising movement strategy. Table 5 shows the experimental results arising from the use of the second type of benchmark functions, which are also presented by mean values and standard deviations. The values found by SR-ICA are not only the smallest among all the results, but also the global minimum value as found by SR-ICA when solving the three optimization problems of F8, F12, and F14. ...Similar publications
In this paper, the novel heuristic search algorithm called Smart Root Search (SRS) was examined for solving a set of different-sized service time–cost optimization in cloud computing service composition (STCOCCSC) problems, and its performance was compared with those of the ICACRO-C, ICACRO-I, ICA, and Niching PSO algorithms. STCOCCSC is an np-hard...
Citations
Ultrasonic time-domain reflectometry has the advantages of real-time and accurate detection of fouling in heat exchange tubes, but owing to the complex detection environment, the received ultrasonic is noisy, and there are problems such as mutual interference between echoes. This article presents a new method for sparse decomposition based on selecting the atomic dictionary with a high degree of matching. The imperialist competitive algorithm is used to optimize the atomic search process of the matching pursuit. Additionally, the global optimization ability of the imperialist competitive algorithm is improved by improving the moving mode and adding the update strategy. This way, problems such as low matching accuracy and slow searching speed of sparse decomposition are improved. This article reports on the characteristic reconstruction experiment run on the ultrasonic detection signal for heat transfer fouling to test the signal processing effect of the improved sparse decomposition method.
