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Constraint-driven floorplanning based on genetic algorithm
| Content Provider | Semantic Scholar |
|---|---|
| Author | Yoshikawa, Masaya Terai, Hidekazu |
| Copyright Year | 2007 |
| Abstract | With resent advances of Deep Sub Micron technologies, the floorplanning problem is an essential design step in VLSI layout design and it is how to place rectangular modules as density as possible. In this paper, we propose a novel constraint driven floorplanning technique based on Genetic Algorithm (GA). Many works have done for the floorplanning problem using GA. However, no studies have ever seen the effect of applying GA in consideration of bus routing constraint and position constraint. Experimental results show improvement of bus routing constraint and position constraint, keeping the chip area and total wire length. |
| Starting Page | 147 |
| Ending Page | 151 |
| Page Count | 5 |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://www.wseas.us/e-library/conferences/2007australia/papers/550-145.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
