The structure of this paper is arranged as follows: the literature review is presented in Sect. 2. Section 3 introduces the proposed SBOA and models it. Section 4 presents a simulation analysis of the convergence behavior, the exploration and exploitation balance ratio and search agent distribution...
Ligand GA is introduced in this work and approaches the problem of finding small molecules inhibiting protein functions by using the protein site to find close to optimal or optimal small molecule binders. Genetic algorithms (GA) are an effective means f
In Skanderova et al. (2019), the migration strategies AllToOne, AllToRandom, AllToAll, and AllToAll Adaptive are compared based on the selected test functions of CEC 2015 competition on learning-based real-parameter single objective optimization (Liang et al.2014). The analysis indicates that t...
In this paper, the method of fuzzy pattern recognition is adopted in more precisely evaluating the actual state of eco-tourism development regarding a given tourist destination in comparison with the three standard patterns (saturated/optimal/deficient)
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In the last years, artificial intelligence (AI) and deep learning based methods showed super performances in several fields and applications as computer vision, natural language processing, time series analysis, etc. One major drawback of AI methods is their intrinsic lack of interpretability. Several...
If we only consider a certain side, these analysis and estimation models are unscientific and the production equipment and AGV scheduling, delivery deadlines, path planning and path conflict and other factors should be taken into account to finally obtain the value of the number of AGVs. In this...
and perform classification simultaneously (Wang et al., 2017), as shown in Flowchart B inFig. 2. Many studies have showed the superior performance of deep learning in HAR. (Lane & Georgiev, 2015) investigate the question of whether deep learning techniques can address the accuracy, robustness ...
Additionally, the total time needed for the model test and analysis was 2 ± 0.5 s, while the total time of doctors was 21.4 ± 9.2 s and 27.2 ± 9.3 s, respectively. This indicated that the model could not only improve the accuracy of diagnosis of general doctors, but also save time...
CNNs have been widely used in medical image analysis in recent years because of their broad feature extraction abilities, which have shown impressive results. Yu et al. [34] presented a multi-stage residual-network-based approach to automatically detecting malignant tumors in dermoscopic images in ...