Siddique Nazmul, Adeli Hojjat
School of Computing and Intelligent Systems, Ulster University, Northland Road, Londonderry, BT48 7JL UK.
Departments of Biomedical Engineering, Biomedical Informatics, Civil, Environmental, and Geodetic Engineering, Electrical and Computer Engineering, Neuroscience, and Neurology, The Ohio State University, 470 Hitchcock Hall, 2070 Neil Avenue, Columbus, OH 43210 USA.
Cognit Comput. 2015;7(6):706-714. doi: 10.1007/s12559-015-9370-8. Epub 2015 Nov 30.
This paper presents an overview of significant advances made in the emerging field of nature-inspired computing (NIC) with a focus on the physics- and biology-based approaches and algorithms. A parallel development in the past two decades has been the emergence of the field of computational intelligence (CI) consisting primarily of the three fields of neural networks, evolutionary computing and fuzzy logic. It is observed that NIC and CI intersect. The authors advocate and foresee more cross-fertilisation of the two emerging fields.
本文概述了自然启发式计算（NIC）这一新兴领域取得的重大进展，重点关注基于物理和生物学的方法及算法。在过去二十年中，一个并行发展的领域是计算智能（CI）领域的出现，它主要由神经网络、进化计算和模糊逻辑这三个领域组成。可以观察到NIC和CI相互交叉。作者提倡并预见这两个新兴领域将有更多的交叉融合。
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