Genetic algorithms with sharing for multimodal function optimization
Proceedings of the Second International Conference on Genetic Algorithms on Genetic algorithms and their application
Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
Requirements for models of achievable routing
ISPD '00 Proceedings of the 2000 international symposium on Physical design
The interpretation and application of Rent's rule
IEEE Transactions on Very Large Scale Integration (VLSI) Systems - Special issue on system-level interconnect prediction
Pre-layout prediction of interconnect manufacturability
Proceedings of the 2001 international workshop on System-level interconnect prediction
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Programming III: Darwinian Invention & Problem Solving
Genetic Programming III: Darwinian Invention & Problem Solving
Prelayout interconnect yield prediction
IEEE Transactions on Very Large Scale Integration (VLSI) Systems - Special section on system-level interconnect prediction (SLIP)
Muiltiobjective optimization using nondominated sorting in genetic algorithms
Evolutionary Computation
Wire layer geometry optimization using stochastic wire sampling
SLIP '02 Proceedings of the 2002 international workshop on System-level interconnect prediction
Prelayout interconnect yield prediction
IEEE Transactions on Very Large Scale Integration (VLSI) Systems - Special section on system-level interconnect prediction (SLIP)
HW/SW partitioning using discrete particle swarm
Proceedings of the 17th ACM Great Lakes symposium on VLSI
Research on Parallel HW/SW Partitioning Based on Hybrid PSO Algorithm
ICA3PP '09 Proceedings of the 9th International Conference on Algorithms and Architectures for Parallel Processing
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The rapid increase in the number of wiring layers due to improved planarization and metallization techniques permits spatial resources to be traded for improved performance. Yield, power dissipation and propagation delay are all sensitive to the selection of the pitch and width of wires in each layer. As in many other engineering design problems, however, there exists no unique solution which simultaneously optimizes all aspects of system performance. The best that can be achieved is the identification of the optimal surface within the multi-objective performance space. A single design can be chosen from this list a posteriori using additional selection criteria which may depend, for example, on the specific details of the product application. This paper investigates the use of Pareto genetic algorithms to explore the extent of multi-objective optimal surfaces. The tradeoffs between yield, power-dissipation and cycle time for a benchmark netlist are examined as a function of in-plane geometry for a seven-layer interconnect.