An Original and Improved Swarm Optimization Alogorithm

ZUO Zhong-liang; GUO Xing; LI Wei

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An Original and Improved Swarm Optimization Alogorithm

更新时间：2026-09-04

- An Original and Improved Swarm Optimization Alogorithm
- Vol. 34, Issue 9, Pages: 15-19(2017)
- 作者机构：
  
  安徽大学计算智能与信号处理重点实验室,安徽,合肥,230039
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2017
- 稿件说明：
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左仲亮, 郭星, 李炜. 一种新颖的改进萤火虫算法[J]. 微电子学与计算机, 2017, 34(9): 15-19.

ZUO Zhong-liang, GUO Xing, LI Wei. An Original and Improved Swarm Optimization Alogorithm[J]. 2017, 34(9): 15-19.
左仲亮, 郭星, 李炜. 一种新颖的改进萤火虫算法[J]. 微电子学与计算机, 2017, 34(9): 15-19. DOI：

ZUO Zhong-liang, GUO Xing, LI Wei. An Original and Improved Swarm Optimization Alogorithm[J]. 2017, 34(9): 15-19. DOI：

摘要

为了克服原始萤火虫算法(Glowworm swarm optimization

GSO)对于多峰函数寻优精度不高和后期收敛速度较慢的问题.为此

本文针对性的提出了一种改进的动态步长自适应的萤火虫优化算法.采用该算法的改进思想

能在一定的程度上避免算法因为过早的成熟而陷入局部最优

并且改进的算法比原始萤火虫算法有着更好的收敛精度.Matlab实验仿真表明

改进算法在一定程度上提高了收敛速度和寻优精度.

Abstract

In order to overcome the basic artifical firefly algorithm(GSO) in solving problems of low precision for the multi peak function and slow convergence. Thus

this paper comes up with an original and improved Dynamic and adaptive step optimization algorithm. With it

This algorithm can avoid being mature and falling into a local value. As the same time

improved GSO can achieve a higher accuracy during Iterative process. According to the simulation experiment

it shows that to some extent

the improved algorithm on covergence speend and precision are enhanced.

关键词

Keywords

references

Deep K, Bansal J C. Mean particle swarm optimization for function optimization[J]. International Studies, 2009, 1(1): 72-79. DOI: 72

Krishand K N, Ghose D. Glowworm swarm optimisation for simulataneous capture of mutiple local optima of multimodal funcations [J]. Swarm Intelligence, 2009, 3(2): 87-124. DOI: 87

Simakov D, Caspi Y, Shechtman E, et al. Summarizing visual data using bidrectionnal similarity[C]//Proc of CVPR 08. Anchorage, Alaska, USA: [s. n], 2008.

曾冰, 李明富, 张翼. 基于改进萤火虫算法的装配序列规划方法[J]. 计算机集成制造系统, 2014, 20(4): 799-866. DOI: 799

段艳明, 肖辉辉. 一种新的自适应步长果蝇优化算法[J]. 河南师范大学学报(自然科学版), 2016, 56(1): 161-168. DOI: 161

田梦楚, 陈志敏. 萤火虫算法智能优化粒子滤波[J]. 自动化学报, 2016, 42(1): 89-97. DOI: 89

欧阳喆, 周永权. 自适应步长萤火虫优化算法[J]. 计算机应用, 2011, 31(7): 1804-1807. DOI: 1804

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