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» Revisiting Genetic Algorithms for the FPGA Placement Problem
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SAMOS
2007
Springer
14 years 1 months ago
An Evolutionary Approach to Area-Time Optimization of FPGA designs
—This paper presents a new methodology based on evolutionary multi-objective optimization (EMO) to synthesize multiple complex modules on programmable devices (FPGAs). It starts ...
Fabrizio Ferrandi, Pier Luca Lanzi, Gianluca Paler...
AHSWN
2006
148views more  AHSWN 2006»
13 years 7 months ago
Geometric Chemotaxis: A Biologically-Inspired Framework for a Class of Wireless Coverage Problems
Abstract-- We present a new, biologically-inspired algorithm for the problem of covering a given region with wireless "units" (sensors or base-stations). The general prob...
Hidayet Ozgur Sanli, Rahul Simha, Bhagirath Naraha...
GECCO
2009
Springer
103views Optimization» more  GECCO 2009»
14 years 2 months ago
Why evolution is not a good paradigm for program induction: a critique of genetic programming
We revisit the roots of Genetic Programming (i.e. Natural Evolution), and conclude that the mechanisms of the process of evolution (i.e. selection, inheritance and variation) are ...
John R. Woodward, Ruibin Bai
ASPDAC
2004
ACM
96views Hardware» more  ASPDAC 2004»
14 years 28 days ago
Register binding and port assignment for multiplexer optimization
- Data path connection elements, such as multiplexers, consume a significant amount of area on a VLSI chip, especially for FPGA designs. Multiplexer optimization is a difficult pro...
Deming Chen, Jason Cong
EOR
2007
97views more  EOR 2007»
13 years 7 months ago
Using pattern matching for tiling and packing problems
act 12 This paper describes a new placement method based on pattern matching for 2D tiling problems. Tiling problem can be 13 considered as a special case of bin packing. In the pr...
Mahmood Amintoosi, Hadi Sadoghi Yazdi, Mahmood Fat...