10 search results - page 1 / 2 » Multiobjective VLSI cell placement using distributed genetic... |
GECCO
2005
Springer
13 years 10 months ago
2005
Springer
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...
ICCSA
2005
Springer
13 years 10 months ago
2005
Springer
Abstract. In this paper, we present a parallel tabu search (TS) algorithm for efficient optimization of a constrained multiobjective VLSI standard cell placement problem. The prima...
ISCAS
2005
IEEE
13 years 10 months ago
2005
IEEE
— 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...
CATA
2007
13 years 6 months ago
2007
In this paper, Simulated Evolution based goodness attributes are incorporated into Tabu Search and Genetic Algorithms to enhance performance as compared to canonical strategies. I...
GECCO
2004
Springer
13 years 10 months ago
2004
Springer
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...