Punctuated equilibria: a parallel genetic algorithm
Proceedings of the Second International Conference on Genetic Algorithms on Genetic algorithms and their application
Minimum crosstalk switchbox routing
ICCAD '94 Proceedings of the 1994 IEEE/ACM international conference on Computer-aided design
Minimum crosstalk channel routing
ICCAD '93 Proceedings of the 1993 IEEE/ACM international conference on Computer-aided design
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Artificial Intelligence Approach to VLSI Routing
Artificial Intelligence Approach to VLSI Routing
Genetic Algorithms and Punctuated Equilibria in VLSI
PPSN I Proceedings of the 1st Workshop on Parallel Problem Solving from Nature
A genetic algorithm for channel routing in vlsi circuits
Evolutionary Computation
Performance driven spacing algorithms using attractive and repulsive constraints for submicron LSI's
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
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Reduction of crosstalk between interconnections becomes an important consideration in today's VLSI design. This paper presents a novel approach to solve the VLSI channel and switchbox routing problems with the objective of satisfying crosstalk constraints for the nets. The approach is based on a parallel genetic algorithm which runs on a distributed network of workstations. All our routing results are qualitatively better or as good as the best published results. In addition, our algorithm is able to significantly reduce the occurrence of crosstalk.