[1]莫宏伟.自然计算研究进展[J].智能系统学报,2011,6(6):544-555.
　MO Hongwei.Research advance on natural computing[J].CAAI Transactions on Intelligent Systems,2011,6(6):544-555.
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自然计算研究进展

《智能系统学报》[ISSN 1673-4785/CN 23-1538/TP] 卷: 6 期数: 2011年第6期 页码: 544-555 栏目: 综述 出版日期: 2011-12-25
Title:
Research advance on natural computing
文章编号:
1673-4785(2011)06-0544-12
作者:
莫宏伟
哈尔滨工程大学 自动化学院，黑龙江 哈尔滨150001
Author(s):
MO Hongwei
College of Automation, Harbin Engineering University, Harbin 150001, China
关键词:
自然计算; 生物启发的计算; 群智能; 分子计算
Keywords:
natural computing;  biologyinspired computing;  swarm intelligence;  molecular computing
分类号:
TP3.05
文献标志码:
A
摘要:
自然计算是计算机科学与人工智能领域中重要的研究内容之一.经过几十年的发展，已经逐渐发展成为涉及多个学科的新兴交叉研究领域，其研究目的在于从自然界中寻求解决人类所面临的复杂问题的方法.早期自然计算主要集中在进化计算、人工神经网络、模糊系统3个主要方面，近20年研究人员提出群体智能、人工免疫系统、DNA计算等新方法.对群体智能等新方法的研究现状、发展趋势、存在的问题进行分析，指出未来发展重点和方向.
Abstract:
Natural computing is one of the important research areas in the field of computer science and artificial intelligence. It is a new research field which involves many disciplines following development spanning several decades. The aim of natural computing is to seek for the solution to difficult problems faced by humans from nature. Natural computing focused on evolution computing, artificial neural networks, and fuzzy systems in its early days. Over the last two decades, several new natural computing methods, such as swarm intelligence, artificial immune systems, and DNA computing have been proposed. In this paper, it presents research situations, development tendencies, and other matters surrounding new methods such as swarm intelligence were analyzed. Areas of future emphasis and direction in development were also pointed out.
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相似文献/References:
[1]莫宏伟,左兴权,毕晓君.人工免疫系统研究进展[J].智能系统学报,2009,4(1):21.
　MO Hong-wei,ZUO Xing-quan,BI Xiao-jun.Advances in artificial immune systems[J].CAAI Transactions on Intelligent Systems,2009,4():21.

备注/Memo

收稿日期： 2011-04-01.
基金项目：国家自然科学基金资助项目(61075113)；中央高校基本科研业务自由探索基金资助项目（HEUCF110441）.
通信作者：莫宏伟.E-mail:honwei2004@126.com.
作者简介：
莫宏伟，男，1973年生，教授，博士生导师，主要研究方向为自然计算与人工免疫系统、人工智能与智能系统、机器学习与数据挖掘.

更新日期/Last Update: 2012-02-29
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