Fireworks Algorithm Based on Dual Population for Optimization Problems

Xu Huan-fen; Liu Wei; Xie Yue-shan

doi:10.12052/gdutxb.160124

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Fireworks Algorithm Based on Dual Population for Optimization Problems

更新时间：2026-05-27

- Fireworks Algorithm Based on Dual Population for Optimization Problems
- Vol. 34, Issue 5, Pages: 65-72(2017)
- 作者机构：
- 作者简介：
- 基金信息：
- DOI：10.12052/gdutxb.160124
  CLC： TP301.6
- Online First：09 September 2017，
  
  Published：2017
- 稿件说明：
移动端阅览
徐焕芬, 刘伟, 谢月珊. 双种群烟花算法[J]. 广东工业大学学报, 2017, 34(5): 65-72.

Xu Huan-fen, Liu Wei, Xie Yue-shan. Fireworks Algorithm Based on Dual Population for Optimization Problems[J]. 2017, 34(5): 65-72.
徐焕芬, 刘伟, 谢月珊. 双种群烟花算法[J]. 广东工业大学学报, 2017, 34(5): 65-72. DOI： 10.12052/gdutxb.160124.

Xu Huan-fen, Liu Wei, Xie Yue-shan. Fireworks Algorithm Based on Dual Population for Optimization Problems[J]. 2017, 34(5): 65-72. DOI： 10.12052/gdutxb.160124.

摘要

为了克服烟花算法收敛速度慢、种群多样性不足的缺陷，提出一种基于双种群策略的烟花算法.该算法两个种群并行独立运算，进化过程中两种群交叉执行爬山算子与协作算子；爬山算子有利于加强算法的局部搜索能力，协作算子促使两种群信息交换，维持种群多样性，避免陷入局部最优解；同时算法改进了最大爆炸半径的设置方法，采用锦标赛选择策略以提高算法的收敛速率.实验对比说明，新算法是一个有效的稳定算法，具有更高的求解精度和更快的收敛速度.

Abstract

A fireworks algorithm based on dual population is proposed to solve optimization problems. A dual population strategy is used to amend the shortcomings

i.e. slow convergence and bad population diversity of the existing fireworks algorithms. Each of two populations is running independently. Meanwhile

they alternately perform the hill-climbing and collaborative operator during the evolution process. Therein

the hill-climbing operator can enhance the local search performance of the proposed algorithm. And the collaborative operator is utilized to maintain the population diversity

avoiding getting stuck in local optimal regions. Furthermore

the proposed algorithm improves the setting of the maximum amplitude of the explosion and uses the tournament selection strategy to improve the convergence rate. The experimental results indicate that the proposed algorithm is superior to the compared algorithms in terms of the stabilization and reliability for most of test problems. It has higher accuracy lever and faster convergence rate.

关键词

Keywords

references

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