蝙蝠优化算法是一种启发式优化算法,由Xin-She Yang于2010年提出。该算法的灵感来源于蝙蝠在狭窄空间中的导航行为。 蝙蝠优化算法的基本思路是模拟蝙蝠的搜索行为。在搜索过程中,每只蝙蝠以当前最优解为目标,沿…
一、蝙蝠算法BA 参考文献: [1] Xin-She Y . A new metaheuristic bat-inspired algorithm, nature inspired cooperative strategies for optimization (NISCO 2010). 2010. 二、无人机模型 无人机三维航迹规划_无人机航迹规划_IT猿手的博客-CSDN博客 参考文献: [1]吕石磊,范仁杰,李震,陈嘉鸿,谢家兴.基于改进蝙蝠...
【深度学习笔记】优化算法( Optimization Algorithm) 本文依旧是吴恩达《深度学习工程师》课程的笔记整理与拓展。 一、优化算法的目的与挑战 优化算法主要是用来加快神经网络的训练速度,使得目标函数快速收敛。 优化问题面临的挑战有病态解、鞍点、梯度爆炸与梯度消失……具体可见参考文献【1】241页到249页。 其中深度学习...
In this study, a new nature-inspired metaheuristic optimization algorithm, called bat algorithm (BA), is introduced for solving engineering optimization tasks. The proposed BA is based on the echolocation behavior of bats. After a detailed formulation and explanation of its implementation, BA is ...
Bat algorithm (BA) is one of the recently proposed heuristic algorithms imitating the echolocation behavior of bats to perform global optimization. The superior performance of this algorithm has been proven among the other most well-known algorithms such as genetic algorithm (GA) and particle swarm ...
Bat algorithm (BA) is a recent metaheuristic optimization algorithm proposed by Yang. In the present study, we have introduced chaos into BA so as to increase its global search mobility for robust global optimization. Detailed studies have been carried out on benchmark problems with different chaot...
This article presents an analysis of the bat algorithm (BA) based on elementary mathematical analysis and statistical comparisons of the first hitting time performance metric distributions obtained on a test set comprising five carefully selected objective functions. The findings show that the BA is ...
Bat algorithmConstraint optimizationMetaheuristic algorithmIn this study, we use a new metaheuristic optimization algorithm, called bat algorithm (BA), to solve constraint optimization tasks. BA is verified using several classical benchmark constraint problems. For further validation, BA is applied to ...
Bat algorithm (BA) is a novel stochastic global optimization algorithm. Cloud model is an effective tool in transforming between qualitative concepts and their quantitative representation. Based on the bat echolocation mechanism and excellent characteristics of cloud model on uncertainty knowledge representati...
Bat Algorithm (BA), developed by Xin She Yang [8] is a recent nature inspired metaheuristic algorithm, which works on the echo-locating behaviour of micro bats. Echolocation is a type of sonar that lets a bat detect its prey; determine its size, orientation, distance and even the speed wi...