MATLAB版 源码及相关工具箱下载地址:http://www.alimirjalili.com/WOA.html 页面如下: The Whale Optimization Algorithm (WOA) is a new optimization technique for solving optimization problems. This a... 查看原文 智能算法:鲸鱼优化算法-附代码 : 参考文献: 摘要:鲸鱼优化算法 (whale optimization algorithm...
鲸鱼优化算法(WhaleOptimizationAlgorithm,WOA)附matlab代码 简介:鲸鱼优化算法(WhaleOptimizationAlgorithm,WOA)附matlab代码 ✅作者简介:热爱科研的Matlab仿真开发者,修心和技术同步精进,matlab项目合作可私信。 🍎个人主页:Matlab科研工作室 🍊个人信条:格物致知。 更多Matlab仿真内容点击👇 智能优化算法神经网络预测雷...
✅作者简介:热爱科研的Matlab仿真开发者,修心和技术同步精进,matlab项目合作可私信。 🍎个人主页:Matlab科研工作室 🍊个人信条:格物致知。 ⛄ 内容介绍 基本鲸鱼优化算法是由Mirjalili等从座头鲸的捕食行为中,产生灵感,并加以改进,提出的一种新型元启发式算法。数学模型来源于3种捕食行为:环绕式捕食、螺旋气...
The effectiveness of the enhanced optimization method is validated by using ten different test functions. Finally, a simulation is performed to verify the effectiveness of the proposed method using the MATLAB platform. Comparing to other energy management strategies, the proposed AMOA strategy can ...
The whale optimization algorithm has received much attention since its introduction due to its outstanding performance. However, like other algorithms, the whale optimization algorithm still suffers from some classical problems. To address the issues of slow convergence, low optimization precision, and sus...
鲸鱼优化算法（Whale Optimization Algorithm，简称WOA）是一种基于鲸鱼觅食行为的进化算法。该算法最初由Simon Harding于2011年提出，旨在解决优化问题。WOA的工作原理分为初始化阶段和迭代过程。在初始化阶段，算法产生一个代表解空间候选解的种群。在迭代过程中，算法通过模拟鲸鱼的搜索、觅食和社交行为来更新...
The whale optimization algorithm (WOA) has shown promise in addressing this challenge, but issues persist, including poor stability, low efficiency, and accuracy in COVID-19 threshold image segmentation. To tackle these issues, we introduce a Latin hypercube sampling initialization-based multi-strategy...
We evaluate the performance of the proposed algorithm, using three simple benchmark test functions over thirty CEC-2014 real-parameter numerical optimization problems and three constraint engineering design problems. The test results indicate that this algorithm can provide a faster local convergence rate...
GSWOA merges the strengths of Golden Search Optimization (GSO) and Whale Optimization Algorithm (WOA), optimizing numerical function optimization and achieving a balance between exploration and exploitation. The algorithm’s effectiveness was assessed using MATLAB by applying standard benchmark functions ...
optimization algorithms can improve the accuracy, speed, robustness, and self-adaptability of MTIS methods. In addition, the performance of the swarm intelligence optimization algorithm can significantly affect the efficiency and results of image segmentation13, so further optimization of the algorithm is...