(1999) Fuzzy Simulated Evolution Algorithm for Multiobjective Optimization of VLSI Placement. In: IEEE Congress on Evolutionary Computation, Washington DC.
|
PDF
Sait_CEC_July1999.pdf Download (921kB) | Preview |
Abstract
A Fuzzy Simulated Evolution algorithm is presented for multi-objetive minimization of VLSI cell placement problem. We propose fuzzy goal-based search strategy combined with a fuzzy allocation scheme. The allocation scheme tries to minimize multiple objectives and adds controlled randomness as opposed to original dterministic allocation schemes. Experiments with benchmarks test demonstrate a noticeable improvement in solution quality.
| Item Type: | Conference or Workshop Item (Other) |
|---|---|
| Subjects: | Computer |
| Department: | College of Computing and Mathematics > Computer Engineering |
| Depositing User: | AbdulRahman |
| Date Deposited: | 27 Feb 2008 05:16 |
| Last Modified: | 01 Nov 2019 13:22 |
| URI: | http://eprints.kfupm.edu.sa/id/eprint/144 |