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Floorplan area optimization using genetic algorithms

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2 Author(s)
Rebaudengo, M. ; Dipartimento di Autom. e Inf., Politecnico di Torino, Italy ; Reorda, M.S.

The paper deals with the problem of Floorplan Area Optimization; an approach based on Genetic Algorithms is proposed. The method produces optimal results with CPU time requirements comparable with the ones of other approaches but presents some advantages: it is simple to implement, it allows the user to easily trade off CPU time with result accuracy, it requires a limited amount of memory to store partial results, it is not sensible to special structures like nested wheels. Experimental results on the biggest problems proposed in the literature are reported

Published in:

VLSI, 1994. Design Automation of High Performance VLSI Systems. GLSV '94, Proceedings., Fourth Great Lakes Symposium on

Date of Conference:

4-5 Mar 1994