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

^*Corresponding author for this work

School of Automation Science and Electrical Engineering

IEEE
CAS - National Space Science Center

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

7 Scopus citations

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.

Original language	English
Title of host publication	Proceedings of the 2007 IEEE Workshop on Evolvable and Adaptive Hardware, WEAH 2007
Publisher	IEEE Computer Society
Pages	67-71
Number of pages	5
ISBN (Print)	1424406994, 9781424406999
DOIs	https://doi.org/10.1109/WEAH.2007.361715
State	Published - 2007
Event	2007 IEEE Workshop on Evolvable and Adaptive Hardware, WEAH 2007, Part of the 2007 IEEE Symposium Series on Computational Intelligence, SSCI 2007 - Honolulu, HI, United States Duration: 1 Apr 2007 → 5 Apr 2008

Publication series

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

Conference

Conference	2007 IEEE Workshop on Evolvable and Adaptive Hardware, WEAH 2007, Part of the 2007 IEEE Symposium Series on Computational Intelligence, SSCI 2007
Country/Territory	United States
City	Honolulu, HI
Period	1/04/07 → 5/04/08

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10.1109/WEAH.2007.361715

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Duan, H., & Yu, X. (2007). Progresses and challenges of ant colony optimization-based evolvable hardware. In Proceedings of the 2007 IEEE Workshop on Evolvable and Adaptive Hardware, WEAH 2007 (pp. 67-71). Article 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. in 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, pp. 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, United States, 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. p. 67-71 4205238 (Proceedings of the 2007 IEEE Workshop on Evolvable and Adaptive Hardware, WEAH 2007).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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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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Y2 - 1 April 2007 through 5 April 2008

ER -

Progresses and challenges of ant colony optimization-based evolvable hardware

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