A Novel Unresolved Peaks Analysis Algorithm for ME Signal Detection Based on Improved SMA

Abstract

Microchip electrophoresis (ME) is an ion detection system with low cost and portability, which is suitable for online analysis of environmental samples. However, the unresolved peaks in the detection signal of complex samples seriously affect the measurement accuracy of sample concentration. In this article, an efficient unresolved peaks analysis algorithm is proposed, which is based on the sigmoidal membership function, Lévy flight, and slime mould algorithm (SLSMA). First, the hyperbolic tangent function in the original slime mould algorithm (SMA) is replaced by the sigmoidal membership function to enhance the global optimization capability. Second, we use the Lévy flight sequences to further enhance the convergence speed of the SMA algorithm. Then, the performance of SLSMA is tested using synthetic peaks with different resolutions and noise levels. Finally, ME peaks are used to further validate the application of the proposed algorithm. The results show that the proposed algorithm has higher computational efficiency and can be used for the analysis of ME peaks.

Advances in Slime Mould Algorithm: A Comprehensive Survey

“…Ling Zheng et al [66] proposed the Lévy flight-rotation SMA (LRSMA), which utilized a variable neighborhood Lévy flight. He W et al [67] used a Lévy flight sequence to increase the convergence speed of the SMA. Pan JS et al [68] proposed an MFSMA, which was added to an adaptive Lévy flight.…”

“…In addition to the strategies previously mentioned in this study, there are numerous additional strategies that researchers usually add to SMAs, including the Nelder-Mead simplex search [33], bee-foraging learning operator [39], dispersed foraging strategy [40],orthogonal learning [82], dynamic random search [55], sigmoid function [67,83], and Gaussian strategy [75,84]. These strategies have improved the performance of SMAs and are important directions for researchers.…”

“…Shahenda Sarhan et al [52] suggested a proposed ESMO for handling optimal power flow (OPF). Wenhe He et al [67] proposed an unresolved peaks analysis algorithm, which was based on the sigmoidal membership function, Lévy flight, and slime mould algorithm (SLSMA), for microchip electrophoresis (ME) signal detection. Chakraborty P et al [102] proposed a hybrid SMA for three engineering optimization problems.…”