Dynamic Fireworks Algorithm Based on Population Evolution Velocit

DU Zhen-xin

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Dynamic Fireworks Algorithm Based on Population Evolution Velocit

更新时间：2026-09-04

- Dynamic Fireworks Algorithm Based on Population Evolution Velocit
- Vol. 33, Issue 10, Pages: 24-27(2016)
- 作者机构：
  
  韩山师范学院机构计算机与信息工程学院,广东,潮州,521041
- 作者简介：
- 基金信息：
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  CLC：
- Published：2016
- 稿件说明：
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杜振鑫. 基于种群进化速度的动态烟花算法[J]. 微电子学与计算机, 2016, 33(10): 24-27.

DU Zhen-xin. Dynamic Fireworks Algorithm Based on Population Evolution Velocit[J]. 2016, 33(10): 24-27.
杜振鑫. 基于种群进化速度的动态烟花算法[J]. 微电子学与计算机, 2016, 33(10): 24-27. DOI：

DU Zhen-xin. Dynamic Fireworks Algorithm Based on Population Evolution Velocit[J]. 2016, 33(10): 24-27. DOI：

摘要

为了提高烟花算法的性能

先分析目标函数中的两种欺骗性进化方向

接着给出烟花算法的一个改进版本: 基于种群进化速度的动态烟花算法.在改进算法中

参数z根据种群进化速度动态改变.改进算法只改进了烟花算法中参数z的更新方式

没有改变烟花算法的结构

因此那些基于烟花算法改进的算法

可以方便的移植到本文的改进算法中.在9个标准测试函数上的实验表明

该改进算法在搜索精度方面超过原始烟花算法.

Abstract

In order to enhance the performance of FA

this paper firstly analysed the two deceptive directions in objective function

then accordingly proposed an enhanced version of FA named Dynamic Fireworks Algorithm based on population evolution velocity(DFA).The parameter z in DFA changes dynamicly according to the population evolution velocity.DFA only changed parameter zs updating strategy without changing the structure of FA

thus the improved algorithm based on FA can be transplanted to DFA conveniently. Experimental evaluation on nine benchmark functions shows that DFA outperforms conventional FA in global solution accuracy capabilities.

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Keywords

references

Tan Y, Zhu Y C. Fireworks algorithms for optimization[C]//Proceedings of Int. Conf. on Swarm Intelligence (ICSI2010), Part Ⅱ. Beijing, China : LNCS 6145, 2010: 355-364.

Pholdee N, Bureerat S. Comparative performance of meta-heuristic algorithm for mass minimission of trusses with dynamic constraints[J]. Advances in Engineering Software, 2014, 75(9): 1-13. DOI: 1

Tan Y, Shi Y, Mo H. The improvement on controlling exploration and exploitation of firework algorithm[C]//ICSI 2013, Part Ⅰ, LNCS 7928. Berlin Heidelberg: Springer_Verlag, 2013: 11-23.

Pei Y, Zheng S, Tan Y, et al. An empirical study on influence of approximation approaches on enhancing fireworks algorithm[C]//Proceeings of the 2012IEEE congress on System. Man and Cybernetics, Seoul, South Korea: IEEE, 2012: 1322-1327.

Zheng S, Andreas J, Tan Y. Enhanced fireworks algorithm[C]// IEEE International Conference on Evolutionary Computation. Cancun, MEXICO : IEEE, 2013: 2069-2077.

谭营. 烟花算法引论[M]. 北京: 科学出版社, 2015: 3-12. DOI: 3

杜振鑫. 烟花算法中爆炸半径的改进研究[J]. 计算机时代, 2013, 30(1): 28-29. DOI: 28

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