Biologically inspired optimization: a review

被引:27
作者
Tang, W. J. [1 ]
Wu, Q. H. [1 ]
机构
[1] Univ Liverpool, Dept Elect Engn & Elect, Liverpool L69 3GJ, Merseyside, England
关键词
applications; biologically inspired algorithms; optimization; survey; PARTICLE SWARM OPTIMIZER; PARAMETER OPTIMIZATION; GENETIC ALGORITHMS; MODEL; POPULATION; COLONY;
D O I
10.1177/0142331208094044
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper presents a review of the development of biologically inspired algorithms (BIAs), including the evolutionary algorithms and swarm intelligence, as well as the newly emerged bacterial foraging algorithms. Our retrospective review is classified to these three areas of BIAs, and their common features and functionalities are discussed respectively. In order to identify the roots and clarify the variants of various BIAs, our discussion is also extended to identify the difference between each algorithm, particularly by indicating their biological background. The review focuses on not only the background of the original studies of BIAs but also their principles and applications, which are supported with a number of references included in this paper.
引用
收藏
页码:495 / 515
页数:21
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