Abstract
In this paper, we address the problem of FSM state assignment to minimize area and power. The objectives are targeted as single/independent as well as multi-objective optimization (MOP) problems. Novel methods for estimating area and power of an FSM are presented. A fuzzy-based aggregation function is employed to combine the two objectives. The work employs genetic algorithm for search space exploration. Experimental results demonstrate the effectiveness of the proposed measures.
| Original language | English |
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| Title of host publication | ISCAS 2006 |
| Subtitle of host publication | 2006 IEEE International Symposium on Circuits and Systems, Proceedings |
| Pages | 5303-5306 |
| Number of pages | 4 |
| State | Published - 2006 |
Publication series
| Name | Proceedings - IEEE International Symposium on Circuits and Systems |
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| ISSN (Print) | 0271-4310 |
ASJC Scopus subject areas
- Electrical and Electronic Engineering