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...
麻雀搜索算法(Sparrow Search Algorithm,SSA)是一种受麻雀觅食和反捕食行为启发的新型的群智能优化算法,它模拟了麻雀种群的觅食行为和反捕食行为的生物学群体特征。该算法由薛建凯在2020年首次提出,旨在解决全局优化问题,具有求解精度高、效率高等特点。 一、算法原理 SSA中的麻雀群体分为发现者(Discoverers)和乞讨者(B...
particle-swarm-optimization firefly-algorithm ant-colony-algorithm wolf-pack-algorithm sparrow-search-algorithm harris-hawks-optimizer Updated Mar 24, 2023 MATLAB Improve this page Add a description, image, and links to the sparrow-search-algorithm topic page so that developers can more easily lea...
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...
2023, 18(6): 88-96. Multi-vessel intelligent collision avoidance decision-making based on CSSOA . Figures of the Article Schematic diagram of ship encounter situation Schematic diagram of ship motion parameters Schematic diagram of the sparrow search algorithm ...
Sparrow search algorithm (SSA) suffers from a tendency to fall into local optima, as well as a preference for zero locations. Therefore, to improve this drawback, we propose a non-uniform mutation sparrow search algorithm (NMSSA). In the initialization stage of the population, we introduce a...
1 简介2009 年伊朗的克曼大学教授 Esmat Rashedi 等人提出了引力搜索算法[5(] Gravitational Search Algorithm),该算法是基于牛顿万有引力定律:“在宇宙间,每一个粒子由于万有引力的作用而彼此相互吸引,这力的大小与粒子的质量成正比,与他们之间的距离成反比”。2 部分代码% GSA code v1.0.% Generated by Esmat ...
This paper reviews the latest versions and applications of sparrow search algorithm (SSA). It is a recent swarm-based algorithm proposed in 2020 rapidly grew due to its simple and optimistic features. SSA is inspired by the sparrow living style of foraging and the anti-predation behavior of sp...
一、算法简介麻雀搜索算法(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…
algorithm named the sparrow search algorithm (SSA), which can imitate the foraging behavior and antipredation behavior of sparrows, to determine optimal solutions. To avoid the algorithm falling into a local optimal situation, this paper integrates the sine–cosine algorithm and the Cauchy variation ...