Genetic programming of process decomposition strategies for evolvable hardware
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Seok, H.-S. | - |
dc.contributor.author | Lee, K.-J. | - |
dc.contributor.author | Zhang, B.-T. | - |
dc.contributor.author | Lee, D.-W. | - |
dc.contributor.author | Sim, K.-B. | - |
dc.date.accessioned | 2022-04-11T08:40:38Z | - |
dc.date.available | 2022-04-11T08:40:38Z | - |
dc.date.issued | 2000-07 | - |
dc.identifier.issn | 1550-6029 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/56160 | - |
dc.description.abstract | Evolvable hardware is able to offer considerably higher performance than general-purpose processors and significantly more flexibility than ASICs. In order to take the advantages of general-purpose processors and ASICs, dividing a complex process into subprocesses is essential. In this paper, we propose a evolutionary method called context switching that splits a task into a set of subtasks whose complexity is manageable on the given hardware. The method is based on genetic programming. Due to its expressive power, genetic program can represent flexible strategies for decomposing complex tasks. The effectiveness of context switching is demonstrated on the design of adaptive controllers for a team of autonomous mobile robots. © 2000 IEEE. | - |
dc.format.extent | 10 | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | - |
dc.title | Genetic programming of process decomposition strategies for evolvable hardware | - |
dc.type | Article | - |
dc.identifier.doi | 10.1109/EH.2000.869339 | - |
dc.identifier.bibliographicCitation | Proceedings - NASA/DoD Conference on Evolvable Hardware, EH, v.2000-January, pp 25 - 34 | - |
dc.description.isOpenAccess | N | - |
dc.identifier.scopusid | 2-s2.0-84949740432 | - |
dc.citation.endPage | 34 | - |
dc.citation.startPage | 25 | - |
dc.citation.title | Proceedings - NASA/DoD Conference on Evolvable Hardware, EH | - |
dc.citation.volume | 2000-January | - |
dc.type.docType | Conference Paper | - |
dc.subject.keywordPlus | Decomposition | - |
dc.subject.keywordPlus | General purpose computers | - |
dc.subject.keywordPlus | Genetic algorithms | - |
dc.subject.keywordPlus | Hardware | - |
dc.subject.keywordPlus | Machine design | - |
dc.subject.keywordPlus | NASA | - |
dc.subject.keywordPlus | Adaptive controllers | - |
dc.subject.keywordPlus | Autonomous Mobile Robot | - |
dc.subject.keywordPlus | Complex Processes | - |
dc.subject.keywordPlus | Evolutionary method | - |
dc.subject.keywordPlus | Evolvable hardware | - |
dc.subject.keywordPlus | Flexible strategies | - |
dc.subject.keywordPlus | General purpose processors | - |
dc.subject.keywordPlus | Process decompositions | - |
dc.subject.keywordPlus | Genetic programming | - |
dc.description.journalRegisteredClass | scopus | - |
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