Adaptive bias simulated evolution algorithm for placement
Simulated Evolution (SE) is a general meta-heuristic for combinatorial optimization problems. A new solution is evolved from current solution by relocating some of the solution elements. Elements with lower goodnesses have higher probabilities of getting selected for perturbation. Because it is not...
Saved in:
| Main Author: | Youssef, H. (author) |
|---|---|
| Other Authors: | Sait, Sadiq M. (author), Ali, H. (author), unknown (author) |
| Format: | article |
| Published: |
2001
|
| Subjects: | |
| Online Access: | https://eprints.kfupm.edu.sa/id/eprint/14662/1/14662_1.pdf https://eprints.kfupm.edu.sa/id/eprint/14662/2/14662_2.doc |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Fuzzy simulated evolution algorithm for VLSI cell placement
by: Sait, Sadiq M.
Published: (2003) -
Fuzzy simulated evolution algorithm for VLSI cell placement.
by: Hussain, Ali Syed
Published: (1998) -
Fuzzy simulated evolution algorithm for multi-objectiveoptimization of VLSI placement
by: Sait, Sadiq M.
Published: (1999) -
Fuzzy simulated evolution algorithm for topology design of campusnetworks
by: Youssef, H.
Published: (2000) -
Evaluating Parallel Simulated Evolution Strategies for VLSI Cell Placement
by: Sait, Sadiq M.
Published: (2020)