Performance-driven MCM partitioning through an adaptive genetic algorithm
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
VISI Physical Design Automation: Theory and Practice
VISI Physical Design Automation: Theory and Practice
AllelesLociand the Traveling Salesman Problem
Proceedings of the 1st International Conference on Genetic Algorithms
A linear-time heuristic for improving network partitions
DAC '82 Proceedings of the 19th Design Automation Conference
An effective multilevel tabu search approach for balanced graph partitioning
Computers and Operations Research
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In this paper, we present an evolutionary algorithm application to partitioning VLSI circuits on subcircuits with minimal number of connections between them. The algorithm is characterized by a multi-layer chromosome structure. Due to this structure, the partition of circuits is possible without applying a repair mechanism in the algorithm. The test circuits chosen from literature and created randomly are partitioned using proposed method. Results obtained by this method are compared with results obtained using a traditional Kernighan-Lin algorithm.