A Review of Bio-Inspired Computing Methods and Potential Applications

被引:8
|
作者
Chakraborty, Amrita [1 ]
Kar, Arpan Kumar [2 ]
机构
[1] Jadavpur Univ, Elect & Telecommun Engn, Kolkata 700032, India
[2] Indian Inst Technol Delhi, Informat Syst Area DMS, New Delhi 110016, India
来源
PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON SIGNAL, NETWORKS, COMPUTING, AND SYSTEMS (ICSNCS 2016), VOL 2 | 2016年 / 396卷
关键词
Bio-inspired computing; Neural networks; Genetic algorithm; Ant colony optimization; Particle swarm optimization; Artificial bee colony; ANT COLONY OPTIMIZATION; NEURAL-NETWORKS;
D O I
10.1007/978-81-322-3589-7_16
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
The domain of bio-inspired computing is increasingly becoming important in today's information era. More and more applications of these intelligent methods are being explored by information scientists for different contexts. While some studies are exploring the application of these algorithms, other studies are highlighting the improvement in the algorithms. In this study, we identify five more popular algorithms and briefly describe their scope. These methods are neural networks, genetic algorithm, ant colony optimization, particle swarm optimization, and artificial bee colony algorithms. We highlight under what context these algorithms are suitable and what objectives could be enabled by them. This would pave the path for studies conducted in the future to choose a suitable algorithm.
引用
收藏
页码:155 / 161
页数:7
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