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Cooperative Encoding Strategy for Gate Array Placement

Cooperative Encoding Strategy for Gate Array Placement

Hong-Bo Wang, Qing-Dong Su, Ruolei Zeng
Copyright: © 2018 |Volume: 10 |Issue: 4 |Pages: 15
ISSN: 1942-9045|EISSN: 1942-9037|EISBN13: 9781522544050|DOI: 10.4018/IJSSCI.2018100103
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MLA

Wang, Hong-Bo, et al. "Cooperative Encoding Strategy for Gate Array Placement." IJSSCI vol.10, no.4 2018: pp.29-43. http://doi.org/10.4018/IJSSCI.2018100103

APA

Wang, H., Su, Q., & Zeng, R. (2018). Cooperative Encoding Strategy for Gate Array Placement. International Journal of Software Science and Computational Intelligence (IJSSCI), 10(4), 29-43. http://doi.org/10.4018/IJSSCI.2018100103

Chicago

Wang, Hong-Bo, Qing-Dong Su, and Ruolei Zeng. "Cooperative Encoding Strategy for Gate Array Placement," International Journal of Software Science and Computational Intelligence (IJSSCI) 10, no.4: 29-43. http://doi.org/10.4018/IJSSCI.2018100103

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Abstract

In recent years, the quadratic force-directed placement is becoming popular due to its stable quality at low power. The force-directed placement composes of two operations, namely, orientating and modulating. The two actions are going on until the overlap degree can meet a predetermined target. Different methods have a great influence on their quality of a layout. A novel encoding strategy of two-dimensional chromosome based on immune cooperative optimization is suggested. The main works first focus on a multi-point crossover strategy, and its Poisson distribution makes use of a Euclidean distance density between the concentration of antibody suppression and the translation variation of optimal gene pairs in two-dimension. Then, a flexible region division is proposed for dealing with the layout problem of gate array. The related experiment indicates the constructed encoding strategy for gate array placement is effective and efficient.

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