[1]刘东强,陈宏伟. 基于改进的蜻蜓算法的特征选择[J].湖北工业大学学报,2021,(4):1-3+41.
　LIU Dongqiang,CHEN Hongwei. An Improved Dragonfly Algorithm for Feature Selection[J].,2021,(4):1-3+41.
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 基于改进的蜻蜓算法的特征选择()
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《湖北工业大学学报》[ISSN:1003-4684/CN:42-1752/Z]

卷:
期数:
2021年第4期
页码:
1-3+41
栏目:
湖北工业大学学报
出版日期:
2021-08-26

文章信息/Info

Title:
 An Improved Dragonfly Algorithm for Feature Selection
文章编号:
1003-4684(2021)04-0001-03
作者:
 刘东强;  陈宏伟
 湖北工业大学计算机学院，湖北 武汉 430068
Author(s):
 LIU Dongqiang; CHEN Hongwei
 School of Computer Science， Hubei Univ. of Tech.， Wuhan 430068， China
关键词:
 ; 蜻蜓算法;  混沌映射;  惯性权重;  特征选择
Keywords:
 ; Dragonfly algorithm;  chaotic mapping;  inertia weight;  feature selection
分类号:
TP399
文献标志码:
A
摘要:
 蜻蜓算法是一种近年提出的元启发式优化算法，它主要是模拟自然界中蜻蜓的捕食和迁徙行为。原始的蜻蜓算法跟其他许多群体智能优化算法一样，存在着自身的缺陷，容易陷入局部最优，并且收敛速度较慢。为了提高蜻蜓优化算法的性能，在算法种群初始化阶段引入混沌映射策略，提高了初代种群的质量，并且将原蜻蜓算法的线性惯性权重做了非线性改进，提高了算法的收敛速度，最后运用于特征选择来检验其实际效果。实验结果表明，改进后的蜻蜓算法比原算法的效果更好。
Abstract:
 Dragonfly algorithm is a meta heuristic optimization algorithm proposed in recent years， which mainly simulates the predation and migration behavior of dragonflies in nature. The original Dragonfly algorithm， like many other swarm intelligence optimization algorithms， has its own defects， easy to fall into local optimum， and slow convergence speed. In order to improve the performance of dragonfly optimization algorithm， this paper introduces chaos mapping strategy in the initialization phase of the algorithm population， improves the quality of the initial population， and makes nonlinear improvement on the linear inertia weight of the original Dragonfly algorithm. It also improves the convergence speed of the algorithm， and finally applies it to feature selection to test its actual effect. The experimental results show that the improved Dragonfly algorithm is better than the original algorithm.

参考文献/References:

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[8] SEYEDALI M. Dragonfly algorithm: a new meta-heuristic optimization technique for solving single-objective discrete and multi-objective problems[J]. Neural Computing and Applications，2016，27(4)：1053-1073.
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备注/Memo

备注/Memo:
［收稿日期］ 2021-05-09
［基金项目］ 国家自然科学基金项目（61772180）
［第一作者］ 刘东强(1994-)， 男， 湖北恩施人，湖北工业大学硕士研究生，研究方向为大数据
［通信作者］ 陈宏伟(1975-)， 男， 湖北武汉人，工学博士，湖北工业大学教授，研究方向为大数据
更新日期/Last Update: 2021-08-27