Genetic algorithms for VLSI micro-Cell layout area optimization based on binary tree
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ACTA Press
2009
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my.unimap-74102017-11-29T04:44:04Z Genetic algorithms for VLSI micro-Cell layout area optimization based on binary tree Hasliza, A. Rahim@Samsuddin Ab Al-Hadi, Ab Rahman R. Badlishah, Ahmad 'Aini Syuhada, Md Zain M.I., Ahmad Wan Nur Suryani Firuz, Wan Arrifin haslizarahim@unimap.edu.my Genetic algorithm Simple genetic algorithm Adaptive genetic algorithm Binary tree VLSI macro-cell layout Link to publisher's homepage at http://www.actapress.com This paper presents a novel module placement based on genetic algorithm (GA) for macro-cell layouts placement that minimizes the chip area size. A binary tree method for non-slicing tree construction process is utilized for the placement and area optimization of macro-cell layouts in very large scale integrated (VLSI) design. The proposed algorithm have been developed using two types of GA: simple genetic algorithm (SGA) and adaptive genetic algorithm (AGA). The performance comparisons of these two techniques in achieving the optimal results are investigated and analyzed. The robustness of GA is also being examined in order to verify the GA performance stability. Based on the experimental results tested on Microelectronic Center of North Carolina (MCNC) benchmark circuit's data set, it exhibits that both algorithms acquire acceptable performance quality to the slicing floorplan approach. AGA performs better than SGA as it converges faster to the optimal result and obtains better optimum area. However, SGA appears to be more robust than AGA. 2009-12-14T04:50:54Z 2009-12-14T04:50:54Z 2008-04-02 Working Paper 978-0-88986-730-7 (CD) http://www.actapress.com/Content_of_Proceeding.aspx?proceedingid=477 http://hdl.handle.net/123456789/7410 en Proceedings of the Advances in Computer Science and Technology (ACST 2008) ACTA Press |
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English |
| topic |
Genetic algorithm Simple genetic algorithm Adaptive genetic algorithm Binary tree VLSI macro-cell layout |
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Genetic algorithm Simple genetic algorithm Adaptive genetic algorithm Binary tree VLSI macro-cell layout Hasliza, A. Rahim@Samsuddin Ab Al-Hadi, Ab Rahman R. Badlishah, Ahmad 'Aini Syuhada, Md Zain M.I., Ahmad Wan Nur Suryani Firuz, Wan Arrifin Genetic algorithms for VLSI micro-Cell layout area optimization based on binary tree |
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Link to publisher's homepage at http://www.actapress.com |
| author2 |
haslizarahim@unimap.edu.my |
| author_facet |
haslizarahim@unimap.edu.my Hasliza, A. Rahim@Samsuddin Ab Al-Hadi, Ab Rahman R. Badlishah, Ahmad 'Aini Syuhada, Md Zain M.I., Ahmad Wan Nur Suryani Firuz, Wan Arrifin |
| format |
Working Paper |
| author |
Hasliza, A. Rahim@Samsuddin Ab Al-Hadi, Ab Rahman R. Badlishah, Ahmad 'Aini Syuhada, Md Zain M.I., Ahmad Wan Nur Suryani Firuz, Wan Arrifin |
| author_sort |
Hasliza, A. Rahim@Samsuddin |
| title |
Genetic algorithms for VLSI micro-Cell layout area optimization based on binary tree |
| title_short |
Genetic algorithms for VLSI micro-Cell layout area optimization based on binary tree |
| title_full |
Genetic algorithms for VLSI micro-Cell layout area optimization based on binary tree |
| title_fullStr |
Genetic algorithms for VLSI micro-Cell layout area optimization based on binary tree |
| title_full_unstemmed |
Genetic algorithms for VLSI micro-Cell layout area optimization based on binary tree |
| title_sort |
genetic algorithms for vlsi micro-cell layout area optimization based on binary tree |
| publisher |
ACTA Press |
| publishDate |
2009 |
| url |
http://dspace.unimap.edu.my/xmlui/handle/123456789/7410 |
| _version_ |
1643802702217478144 |