Simulated evolution algorithm for multiobjective VLSI netlist bi-partitioning
In this paper the Simulated Evolution algorithm (SimE) is engineered to solve the optimization problem of multi-objective VLSI netlist bi-partitioning. The multi-objective version of the problem is addressed in which, power dissipation, timing performance, as well as cut-set are optimized while Bala...
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| مؤلفون آخرون: | , , |
| التنسيق: | article |
| منشور في: |
2003
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| الموضوعات: | |
| الوصول للمادة أونلاين: | https://eprints.kfupm.edu.sa/id/eprint/14529/1/14529_1.pdf https://eprints.kfupm.edu.sa/id/eprint/14529/2/14529_2.doc |
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| _version_ | 1864513393817288705 |
|---|---|
| author | Sait, Sadiq M. |
| author2 | El-Maleh, A.H. Al-Abaji, R.H. unknown |
| author2_role | author author author |
| author_facet | Sait, Sadiq M. El-Maleh, A.H. Al-Abaji, R.H. unknown |
| author_role | author |
| dc.creator.none.fl_str_mv | Sait, Sadiq M. El-Maleh, A.H. Al-Abaji, R.H. unknown |
| dc.date.none.fl_str_mv | 2003-05 2020 |
| dc.format.none.fl_str_mv | application/pdf application/msword |
| dc.identifier.none.fl_str_mv | https://eprints.kfupm.edu.sa/id/eprint/14529/1/14529_1.pdf https://eprints.kfupm.edu.sa/id/eprint/14529/2/14529_2.doc (2003) Simulated evolution algorithm for multiobjective VLSI netlist bi-partitioning. Circuits and Systems, 2003. ISCAS '03. Proceedings of the 2003 International Symposium on, 5. |
| dc.language.none.fl_str_mv | en en |
| dc.publisher.none.fl_str_mv | IEEE |
| dc.relation.none.fl_str_mv | https://eprints.kfupm.edu.sa/id/eprint/14529/ |
| dc.rights.*.fl_str_mv | info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Computer |
| dc.title.none.fl_str_mv | Simulated evolution algorithm for multiobjective VLSI netlist bi-partitioning |
| dc.type.none.fl_str_mv | Article PeerReviewed info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/article |
| description | In this paper the Simulated Evolution algorithm (SimE) is engineered to solve the optimization problem of multi-objective VLSI netlist bi-partitioning. The multi-objective version of the problem is addressed in which, power dissipation, timing performance, as well as cut-set are optimized while Balance is taken as a constraint. Fuzzy rules are used in order to design the overall multi-objective cost function that integrates the costs of three objectives in a single overall cost value. Fuzzy goodness functions are designed for delay and power, and proved efficient. A series of experiments are performed to evaluate the efficiency of the algorithm. ISCAS-85/89 benchmark circuits are used and experimental results are reported and compared to earlier algorithms like GA and TS. |
| eu_rights_str_mv | openAccess |
| format | article |
| id | KFUPM_4d63f3fa31efebcf0632aa7f3d0036e6 |
| identifier_str_mv | (2003) Simulated evolution algorithm for multiobjective VLSI netlist bi-partitioning. Circuits and Systems, 2003. ISCAS '03. Proceedings of the 2003 International Symposium on, 5. |
| language_invalid_str_mv | en |
| network_acronym_str | KFUPM |
| network_name_str | King Fahd University of Petroleum and Minerals |
| oai_identifier_str | oai::14529 |
| publishDate | 2003 |
| publisher.none.fl_str_mv | IEEE |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| spelling | Simulated evolution algorithm for multiobjective VLSI netlist bi-partitioningSait, Sadiq M.El-Maleh, A.H.Al-Abaji, R.H.unknownComputerIn this paper the Simulated Evolution algorithm (SimE) is engineered to solve the optimization problem of multi-objective VLSI netlist bi-partitioning. The multi-objective version of the problem is addressed in which, power dissipation, timing performance, as well as cut-set are optimized while Balance is taken as a constraint. Fuzzy rules are used in order to design the overall multi-objective cost function that integrates the costs of three objectives in a single overall cost value. Fuzzy goodness functions are designed for delay and power, and proved efficient. A series of experiments are performed to evaluate the efficiency of the algorithm. ISCAS-85/89 benchmark circuits are used and experimental results are reported and compared to earlier algorithms like GA and TS.IEEE2003-052020ArticlePeerReviewedinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfapplication/mswordhttps://eprints.kfupm.edu.sa/id/eprint/14529/1/14529_1.pdfhttps://eprints.kfupm.edu.sa/id/eprint/14529/2/14529_2.doc (2003) Simulated evolution algorithm for multiobjective VLSI netlist bi-partitioning. Circuits and Systems, 2003. ISCAS '03. Proceedings of the 2003 International Symposium on, 5. enenhttps://eprints.kfupm.edu.sa/id/eprint/14529/info:eu-repo/semantics/openAccessoai::145292019-11-01T14:06:15Z |
| spellingShingle | Simulated evolution algorithm for multiobjective VLSI netlist bi-partitioning Sait, Sadiq M. Computer |
| status_str | publishedVersion |
| title | Simulated evolution algorithm for multiobjective VLSI netlist bi-partitioning |
| title_full | Simulated evolution algorithm for multiobjective VLSI netlist bi-partitioning |
| title_fullStr | Simulated evolution algorithm for multiobjective VLSI netlist bi-partitioning |
| title_full_unstemmed | Simulated evolution algorithm for multiobjective VLSI netlist bi-partitioning |
| title_short | Simulated evolution algorithm for multiobjective VLSI netlist bi-partitioning |
| title_sort | Simulated evolution algorithm for multiobjective VLSI netlist bi-partitioning |
| topic | Computer |
| url | https://eprints.kfupm.edu.sa/id/eprint/14529/1/14529_1.pdf https://eprints.kfupm.edu.sa/id/eprint/14529/2/14529_2.doc |