Progresses and challenges of ant colony optimization-based evolvable hardware

Haibin Duan; Xiufen Yu

doi:10.1109/WEAH.2007.361715

Progresses and challenges of ant colony optimization-based evolvable hardware

Haibin Duan^*
, Xiufen Yu

^*此作品的通讯作者

自动化科学与电气工程学院

IEEE
CAS - National Space Science Center

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

7 引用（Scopus）

摘要

Evolvable hardware(EHW) refers to hardware that can change its architecture and behavior dynamically and autonomously by interacting with its environment, and ant colony optimization is a meta-heuristic algorithm for the approximate solution of combinatorial optimization problems that has been inspired by the foraging behavior of real ant colonies. In this paper, we take a broad view on the progresses of ant colony optimization-based EHW, which include ant colony optimization-based random number generator, FPGA implementation, digital circuits, digital IIR filters and so on. Some important issues of the challenges of ant colony optimization-based EHW are also presented, and online realization, robustness, generalization, disaster problem are four key challenging issues of ant colony optimization-based EHW in the future.

源语言	英语
主期刊名	Proceedings of the 2007 IEEE Workshop on Evolvable and Adaptive Hardware, WEAH 2007
出版商	IEEE Computer Society
页	67-71
页数	5
ISBN（印刷版）	1424406994, 9781424406999
DOI	https://doi.org/10.1109/WEAH.2007.361715
出版状态	已出版 - 2007
活动	2007 IEEE Workshop on Evolvable and Adaptive Hardware, WEAH 2007, Part of the 2007 IEEE Symposium Series on Computational Intelligence, SSCI 2007 - Honolulu, HI, 美国期限: 1 4月 2007 → 5 4月 2008

出版系列

姓名	Proceedings of the 2007 IEEE Workshop on Evolvable and Adaptive Hardware, WEAH 2007

会议

会议	2007 IEEE Workshop on Evolvable and Adaptive Hardware, WEAH 2007, Part of the 2007 IEEE Symposium Series on Computational Intelligence, SSCI 2007
国家/地区	美国
市	Honolulu, HI
时期	1/04/07 → 5/04/08

访问文件

10.1109/WEAH.2007.361715

其它文件与链接

链接到 Scopus 的出版物

引用此

Duan, H., & Yu, X. (2007). Progresses and challenges of ant colony optimization-based evolvable hardware. 在 Proceedings of the 2007 IEEE Workshop on Evolvable and Adaptive Hardware, WEAH 2007 (页码 67-71). 文章 4205238 (Proceedings of the 2007 IEEE Workshop on Evolvable and Adaptive Hardware, WEAH 2007). IEEE Computer Society. https://doi.org/10.1109/WEAH.2007.361715

@inproceedings{338935ca4e48482f967076b2fbd56c8d,

title = "Progresses and challenges of ant colony optimization-based evolvable hardware",

abstract = "Evolvable hardware(EHW) refers to hardware that can change its architecture and behavior dynamically and autonomously by interacting with its environment, and ant colony optimization is a meta-heuristic algorithm for the approximate solution of combinatorial optimization problems that has been inspired by the foraging behavior of real ant colonies. In this paper, we take a broad view on the progresses of ant colony optimization-based EHW, which include ant colony optimization-based random number generator, FPGA implementation, digital circuits, digital IIR filters and so on. Some important issues of the challenges of ant colony optimization-based EHW are also presented, and online realization, robustness, generalization, disaster problem are four key challenging issues of ant colony optimization-based EHW in the future.",

author = "Haibin Duan and Xiufen Yu",

year = "2007",

doi = "10.1109/WEAH.2007.361715",

language = "英语",

isbn = "1424406994",

series = "Proceedings of the 2007 IEEE Workshop on Evolvable and Adaptive Hardware, WEAH 2007",

publisher = "IEEE Computer Society",

pages = "67--71",

booktitle = "Proceedings of the 2007 IEEE Workshop on Evolvable and Adaptive Hardware, WEAH 2007",

address = "美国",

note = "2007 IEEE Workshop on Evolvable and Adaptive Hardware, WEAH 2007, Part of the 2007 IEEE Symposium Series on Computational Intelligence, SSCI 2007 ; Conference date: 01-04-2007 Through 05-04-2008",

}

Duan, H & Yu, X 2007, Progresses and challenges of ant colony optimization-based evolvable hardware. 在 Proceedings of the 2007 IEEE Workshop on Evolvable and Adaptive Hardware, WEAH 2007., 4205238, Proceedings of the 2007 IEEE Workshop on Evolvable and Adaptive Hardware, WEAH 2007, IEEE Computer Society, 页码 67-71, 2007 IEEE Workshop on Evolvable and Adaptive Hardware, WEAH 2007, Part of the 2007 IEEE Symposium Series on Computational Intelligence, SSCI 2007, Honolulu, HI, 美国, 1/04/07. https://doi.org/10.1109/WEAH.2007.361715

Progresses and challenges of ant colony optimization-based evolvable hardware. / Duan, Haibin; Yu, Xiufen.
Proceedings of the 2007 IEEE Workshop on Evolvable and Adaptive Hardware, WEAH 2007. IEEE Computer Society, 2007. 页码 67-71 4205238 (Proceedings of the 2007 IEEE Workshop on Evolvable and Adaptive Hardware, WEAH 2007).

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

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N2 - Evolvable hardware(EHW) refers to hardware that can change its architecture and behavior dynamically and autonomously by interacting with its environment, and ant colony optimization is a meta-heuristic algorithm for the approximate solution of combinatorial optimization problems that has been inspired by the foraging behavior of real ant colonies. In this paper, we take a broad view on the progresses of ant colony optimization-based EHW, which include ant colony optimization-based random number generator, FPGA implementation, digital circuits, digital IIR filters and so on. Some important issues of the challenges of ant colony optimization-based EHW are also presented, and online realization, robustness, generalization, disaster problem are four key challenging issues of ant colony optimization-based EHW in the future.

AB - Evolvable hardware(EHW) refers to hardware that can change its architecture and behavior dynamically and autonomously by interacting with its environment, and ant colony optimization is a meta-heuristic algorithm for the approximate solution of combinatorial optimization problems that has been inspired by the foraging behavior of real ant colonies. In this paper, we take a broad view on the progresses of ant colony optimization-based EHW, which include ant colony optimization-based random number generator, FPGA implementation, digital circuits, digital IIR filters and so on. Some important issues of the challenges of ant colony optimization-based EHW are also presented, and online realization, robustness, generalization, disaster problem are four key challenging issues of ant colony optimization-based EHW in the future.

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DO - 10.1109/WEAH.2007.361715

M3 - 会议稿件

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SN - 1424406994

SN - 9781424406999

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BT - Proceedings of the 2007 IEEE Workshop on Evolvable and Adaptive Hardware, WEAH 2007

PB - IEEE Computer Society

T2 - 2007 IEEE Workshop on Evolvable and Adaptive Hardware, WEAH 2007, Part of the 2007 IEEE Symposium Series on Computational Intelligence, SSCI 2007

Y2 - 1 April 2007 through 5 April 2008

ER -

Progresses and challenges of ant colony optimization-based evolvable hardware

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