改进的萤火虫群优化算法及其非线性盲源分离

doi:10.11959/j.issn.1000-0801.2015213

电信科学 ›› 2015, Vol. 31 ›› Issue (9): 97-102.doi: 10.11959/j.issn.1000-0801.2015213

改进的萤火虫群优化算法及其非线性盲源分离

黄浦博¹,尉宇^1,²

¹ 武汉科技大学武汉430070
² 华中科技大学武汉430047

出版日期:2015-09-15 发布日期:2015-10-19

Nonlinear Blind Source Separation Algorithm Using Glowworm Swarm Optimization with Baffle Effect

Pubo Huang¹,Yu Wei^1,²

¹ Wuhan University of Science and Technology, Wuhan 430070, China
² Huazhong University of Science and Technology, Wuhan 430047, China

Online:2015-09-15 Published:2015-10-19

摘要/Abstract

摘要：

摘要：根据萤火虫算法的特点，针对萤火虫算法较早进入局部收敛的不足进行改进，引入了“挡板效应”的方法，扩大种群多样性，并提出了BGSO算法。在分析了非线性盲源分离模型的基础上，利用系统两次遍历萤火虫群，比较评价函数，获得最优解的方式。其有效性被仿真结果所证实。

关键词: 非线性盲源分离, 萤火虫优化, 挡板效应

Abstract:

According to the characteristics of glowworm swarm optimization（GSO）algorithm, to overcome the disadvantages of premature convergence, a new method called “baffle effect”was proposed. The diversity of swarm was expanded. Based on the analysis of the model of nonlinear blind source separation（NBSS）, using traversing glowworm swarm twice, comparing evaluation function, the best result was get. Their validity is confirmed by effect of the signal separation test.

Key words: nonlinear blind source separation, glowworm swarm optimization, baffle effect

黄浦博,尉宇. 改进的萤火虫群优化算法及其非线性盲源分离[J]. 电信科学, 2015, 31(9): 97-102.

Pubo Huang,Yu Wei. Nonlinear Blind Source Separation Algorithm Using Glowworm Swarm Optimization with Baffle Effect[J]. Telecommunications Science, 2015, 31(9): 97-102.

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参考文献 9

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改进的萤火虫群优化算法及其非线性盲源分离

Nonlinear Blind Source Separation Algorithm Using Glowworm Swarm Optimization with Baffle Effect

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