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Alternative TitleResearch Status and Development Trends of the Bio-inspired Computation
朱云龙; 申海; 陈瀚宁; 吕赐兴; 张丁一
Source Publication信息与控制
Volume45Issue:5Pages:600-614, 640    
Indexed ByCSCD
Contribution Rank1
Funding Organization国家自然科学基金资助项目(61174164,51205389,61105067,61502318)
Keyword生态系统 复杂适应系统 涌现 生物启发计算 优化计算
Other AbstractBio-inspired computation aims to study the biology function, characteristic and mechanism of the various levels of nature, from biological individual, population, colony until ecosystem, and set up a relevant model and computing method, so as to serve the scientific research and engineering application of human society. It is not only the inheritance and development of artificial intelligence, but also from a new point to understand and grasp the intelligent intrinsic. First, we introduce the bio-inspired computation theoretical origin, involving the biological evolutionism theory, the symbiosis evolution theory and the complex adaptive system theory. Then, we review algorithm research progress and discuss about application research progress from three aspects including optimal plan, optimal analysis and optimal control. Based on comprehensive analysis and summarize existing bio-inspired optimization algorithms, a bio-inspired computation unified framework model is proposed. Finally, a few future directions and research challenges are presented, such as parallel bio-inspired computation, bio-inspired computation with reasoning and knowledge, bio-inspired dynamics computation, bio-inspired computation based on quorum sensing, artificial brain, evolutionary hardware, big data, swarm robot, virtual biological, cloud computing, etc.
Citation statistics
Cited Times:3[CSCD]   [CSCD Record]
Document Type期刊论文
Corresponding Author申海
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GB/T 7714
朱云龙,申海,陈瀚宁,等. 生物启发计算研究现状与发展趋势[J]. 信息与控制,2016,45(5):600-614, 640    .
APA 朱云龙,申海,陈瀚宁,吕赐兴,&张丁一.(2016).生物启发计算研究现状与发展趋势.信息与控制,45(5),600-614, 640    .
MLA 朱云龙,et al."生物启发计算研究现状与发展趋势".信息与控制 45.5(2016):600-614, 640    .
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