Ant colony optimization-based bio-inspired hardware: survey and prospect

被引：8

作者：

Duan, Haibin ^{[1
]}

Yu, Yaxiang ^{[1
]}

Zou, Jie ^{[2
]}

Feng, Xing ^{[2
]}

机构：

[1] Beihang Univ, Dept Automat Control, Natl Key Lab Sci & Technol Holist Control, Beijing 100191, Peoples R China

[2] Luoyang Inst Electroopt Equipment, Key Lab Natl Def Sci & Technol Fire Control Techn, Luoyang 471009, Peoples R China

来源：

TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL | 2012年 / 34卷 / 2-3期

基金：

中国国家自然科学基金;

关键词：

ant colony optimization; bio-inspired hardware (BHW); positive feedback; prospect; robustness; swarm robotics; EVOLUTIONARY DESIGN; ALGORITHM;

D O I：

10.1177/0142331210366689

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Bio-inspired hardware (BHW) refers to hardware that can change its architecture and behaviour dynamically and autonomously by interacting with its environment, and ant colony optimization is a meta-heuristic algorithm for the approximate solution of combinatorial optimization problems that has been inspired by the foraging behaviour of real ant colonies. In this paper, we take a broad survey on the recent progresses of ant colony optimization-based BHW, which includes ant colony optimization-based fuzzy controller, ant colony optimization-based hardware for the Travelling Salesman Problem (TSP), digital circuits, digital infinite impulse-response (IIR) filters, hardware-oriented ant colony optimization with look-up table and hardware/software partition. Some important issues of the challenges of ant colony optimization-based BHW are also presented. Online realization, robustness, generalization, disaster problems, theoretical analysis, implementation, swarm robotics, applications and hybrid approaches are eight key challenging issues for the ant colony optimization-based BHW.

引用

页码：318 / 333

页数：16

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