— Simulated Evolution (SimE) is a sound stochastic approximation algorithm based on the principles of adaptation. If properly engineered it is possible for SimE to reach nearopti...
Genetic Algorithms have worked fairly well for the VLSI cell placement problem, albeit with significant run times. Two parallel models for GA are presented for VLSI cell placemen...
Sadiq M. Sait, Mohammed Faheemuddin, Mahmood R. Mi...
This paper describes a new force directed global placement algorithm that exploits and extends techniques from two leading placers, Force-directed [12] [26] and Mongrel [22]. It c...
Genetic algorithms require relatively large computation time to solve optimization problems, especially in VLSI CAD such as module placement. Therefore, island-based parallel GAs a...
We present a new timing driven method for global placement. Our method is based on the observation that similar net length reductions in the different nets that make up a path may...