To address the issue of the low utilization rate of mold platforms in the production line of precast concrete components, a method combining an improved sparrow algorithm with the lowest horizontal line algorithm is p...
详细信息
ISBN:
(纸本)9798350366907;9789887581581
To address the issue of the low utilization rate of mold platforms in the production line of precast concrete components, a method combining an improved sparrow algorithm with the lowest horizontal line algorithm is proposed. Firstly, a layout model for precast concrete components considering the reinforcement process is established. Subsequently, the improved sparrow algorithm is employed to optimize the production sequence of components, and the lowest horizontal line algorithm is utilized to determine the optimized layout positions of the components. By introducing a cubic chaotic sequence to initialize the sparrow population, setting a similarity mutation operator, and applying the cauchy mutation to similar individuals, the sparrow algorithm is enhanced. This enhancement ensures a more even distribution of the sparrow population in the solution space, thereby strengthening the global optimization capability of the sparrow algorithm. Finally, the effectiveness of the proposed method is validated through simulation tests.
Combining the lowest horizontal line algorithm with defect constraints and adaptive genetic algorithm to optimize the layout of rectangular parts with internal defective plates. The adaptive genetic algorithm is used ...
详细信息
ISBN:
(纸本)9798350388084;9798350388077
Combining the lowest horizontal line algorithm with defect constraints and adaptive genetic algorithm to optimize the layout of rectangular parts with internal defective plates. The adaptive genetic algorithm is used to optimize the arrangement order of rectangular parts. It adaptively adjusts the crossover probability according to the individual fitness value, which can improve the calculation efficiency of the algorithm and avoid falling into the local optimal solution. Based on the lowest horizontal line algorithm with defect constraints, the lowesthorizontalline is updated by judging the position of the defect, so that the rectangular part can effectively avoid the defective part during layout. The algorithm is programmed and simulated in the Python environment. Compared with the classic genetic algorithm, the proposed algorithm improves the maximum utilization rate of the board and the stability of layout optimization in the plate layout problem with two different numbers of defects. This shows that the lowest horizontal line algorithm with defect constraints based on the adaptive genetic algorithm has practical application value in the layout problem of defective plates.
Since the digital camouflage generation method based on fixed single background image cannot fully meet the hidden need of maneuvering targets. In this paper, a method of generating digital camouflage image based on s...
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Since the digital camouflage generation method based on fixed single background image cannot fully meet the hidden need of maneuvering targets. In this paper, a method of generating digital camouflage image based on several background images is proposed. Firstly, according to the active range of the maneuvering target, several background images are collected. Secondly, in order to resolve the problem that the clustering algorithm is sensitive to the initial clustering center and easy to fall into local optimum, K-harmonic means (KHM) clustering algorithm is introduced and initial clustering center is determined based on color histogram. Again, KHM clustering is used to extract color features from several background images, the first clustering is extracted from a single background image, and the second clustering is extracted with several color features sets extracted from the first clustering of background images as input. Finally, the regular hexagon is used as the basic unit of the digital camouflage image to construct the spot template, and the digital camouflage image is generated by the lowest horizontal line algorithm. Example verification and camouflage effect detection show that the digital camouflage image generated by this method can effectively realize the concealment of maneuvering targets and has good camouflage effect.
To address the issue of the low utilization rate of mold platforms in the production line of precast concrete components, a method combining an improved sparrow algorithm with the lowest horizontal line algorithm is p...
详细信息
ISBN:
(数字)9789887581581
ISBN:
(纸本)9798350366907
To address the issue of the low utilization rate of mold platforms in the production line of precast concrete components, a method combining an improved sparrow algorithm with the lowest horizontal line algorithm is proposed. Firstly, a layout model for precast concrete components considering the reinforcement process is established. Subsequently, the improved sparrow algorithm is employed to optimize the production sequence of components, and the lowest horizontal line algorithm is utilized to determine the optimized layout positions of the components. By introducing a cubic chaotic sequence to initialize the sparrow population, setting a similarity mutation operator, and applying the cauchy mutation to similar individuals, the sparrow algorithm is enhanced. This enhancement ensures a more even distribution of the sparrow population in the solution space, thereby strengthening the global optimization capability of the sparrow algorithm. Finally, the effectiveness of the proposed method is validated through simulation tests.
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