Bio-inspired computation: success and challenges of IJBIC

被引：0
|
作者：
Yang, Xin-She [1 ]
Cui, Zhihua [2 ]
机构：
[1] Middlesex Univ, Sch Sci & Technol, London NW4 4BT, England
[2] Taiyuan Univ Sci & Technol, Complex Syst & Computat Intelligent Lab, Taiyuan 030024, Peoples R China
来源：
INTERNATIONAL JOURNAL OF BIO-INSPIRED COMPUTATION | 2014年 / 6卷 / 01期
关键词：
algorithm; bio-inspired computation; BIC; metaheuristic; nature-inspired; artificial intelligence; optimisation; PARTICLE SWARM OPTIMIZATION; CUCKOO SEARCH; BAT ALGORITHM; INTELLIGENCE; METAHEURISTICS; SYSTEM;
D O I：
10.1504/IJBIC.2014.059969
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
It is now five years since the launch of the International Journal of Bio-Inspired Computation (IJBIC). At the same time, significant new progress has been made in the area of bio-inspired computation. This review paper summarises the success and achievements of IJBIC in the past five years, and also highlights the challenges and key issues for further research.
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收藏
页码：1 / 6
页数：6
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