|
|||
An Evolutionary Constraint Satisfaction Solution for Over the Cell Channel RoutingAdnan Acan and Ahmet Unveren Computer Engineering Dept., Eastern Mediterranean University, Gazimausa, T.R.N.C. Mersin 10, TURKEYadnan.acan@emu.edu.tr ahmet.unveren@emu.edu.tr Abstract. A novel combination of genetic algorithms and constraint satisfaction modelling for the solution of two and multi-layer over-the-cell channel routing problems is presented. The two major objectives of the optimization task are to find an optimal assignment of nets to over-the-cell and within the channel tracks, and to minimize the channel widths through a simple but effective iterative routing methodology. Two genetic algorithms cooperate in a nested manner to perform the optimization task. The results obtained using the benchmark problems published in literature indicate that, without any predefined fixed upper/lower channel widths, the implemented algorithm outperforms well-known channel routers. LNCS 3103, p. 838 ff. lncs@springer.de
|