麻雀优化算法 (Sparrow Search Algorithm, SSA) 是一种模仿麻雀受食和防御行为的优化算法。它主要应用于求解全局优化问题。我将使用函数f(x,y)=x2+y2来具体演示这个算法的应用过程。 1. 定义 麻雀优化算法灵感来自于麻雀的社会行为,如领导和跟随、受食和逃避等。算法模拟麻雀群体在搜索食物时的行为模式,以此来指导
麻雀搜索算法是一种群智能优化算法,主要是受麻雀的觅食行为和反捕食行为的启发而提出的,其仿生原理如下: 在麻雀觅食的过程中,分为发现者和加入者,发现者在种群中负责寻找食物并为整个麻雀种群提供觅食区域和方向,而加入者则是利用发现者来获取食物。为了获得食物,麻雀通常可以采用发现者和加入者这两种行为策略进行觅食...
麻雀算法（Sparrow Search Algorithm, SSA）是一种受自然界麻雀群体行为启发的优化算法。想象一下，一群麻雀在寻找食物的过程中，它们需要在广阔的区域内快速而有效地搜索到食物资源。这种行为恰恰体现了算法的核心思想：在一个广阔的搜索空间内，通过群体的合作与竞争，高效地找到最优解。在现实生活中，就...
This integration serves to enhance the global and local search capabilities of the algorithm, thereby improving its convergence accuracy and stability. Subsequently, the improved SSA is utilized to concurrently optimize XGBoost parameters and feature selection, leading to the establishment of a new ...
BMC Bioinformatics (2023) 24:384 https://doi.org/10.1186/s12859-023-05514-7 BMC Bioinformatics RESEARCH Open Access MSXFGP: combining improved sparrow search algorithm with XGBoost for enhanced genomic prediction Ganghui Zhou1,2, Jing Gao1,2,3*, Dongshi Zuo1,2, Jin Li1,2...
In this study, a threshold-based automatic approach for skin cancer detection, classification, and segmentation utilizing a meta-heuristic optimizer named sparrow search algorithm (SpaSA) is proposed. Five U-Net models (i.e., U-Net, U-Net++, Attention U-Net, V-net, and Swin U-Net) with...
麻雀搜索算法(sparrow search algorithm,SSA)由Jiankai Xue等人于2020年提出,该算法是根据麻雀觅食并逃避捕食者的行为而提出的群智能优化算法。SSA 主要是受麻雀的觅食行为和反捕食行为的启发而提出的。该算法比较新颖,具有寻优能力强,收敛速度快的优点。麻雀群觅食过程也是发现者-跟随者模型的一种,同时还叠加了侦查...
麻雀算法优化Sparrow-Search-Algorithm-Matlab-main.zip 人工智能 - 机器学习 且歌**且行上传3.32 KB文件格式zip 从麻雀的群体智慧、觅食行为和反捕食行为出发,提出了一种新的群体优化方法&麻雀搜索算法(SSA) (0)踩踩(0) 所需:7积分
This algorithm introduces a refractive backward learning mechanism in the initialization phase, effectively reducing the risk of early convergence to local optima. The strategy increases the diversity of the population by randomly perturbing candidate solutions within the search space, thereby improving the...
Second, a convolutional neural network–gated recurrent unit (GRU) hybrid model, which optimizes hyperparameters using the sparrow search algorithm, is used to capture the nonlinear relationships that exist in each component. Finally, the final prediction result of dam deformation is the comprehensive...