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» Designing Digital Circuits for the Knapsack Problem
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ICCS
2004
Springer
13 years 10 months ago
Designing Digital Circuits for the Knapsack Problem
Abstract. Multi Expression Programming (MEP) is a Genetic Programming variant that uses linear chromosomes for solution encoding. A unique feature of MEP is its ability of encoding...
Mihai Oltean, Crina Grosan, Mihaela Oltean
FPGA
2006
ACM
224views FPGA» more  FPGA 2006»
13 years 8 months ago
Flexible implementation of genetic algorithms on FPGAs
In this paper, we propose a technique to flexibly implement genetic algorithms for various problems on FPGAs. For the purpose, we propose a basic architecture for GA which consist...
Tatsuhiro Tachibana, Yoshihiro Murata, Naoki Shiba...
EH
2000
IEEE
123views Hardware» more  EH 2000»
13 years 9 months ago
The Test Vector Problem and Limitations to Evolving Digital Circuits
How do we know the correctness of an evolved circuit? While Evolutionary Hardware is exhibiting its effectiveness, we argue that it is very difficult to design a large-scale digit...
Kosuke Imamura, James A. Foster, Axel W. Krings
EVOW
2005
Springer
13 years 10 months ago
Evolving Reversible Circuits for the Even-Parity Problem
Reversible computing basically means computation with less or not at all electrical power. Since the standard binary gates are not usually reversible we use the Fredkin gate in ord...
Mihai Oltean
EH
2002
IEEE
104views Hardware» more  EH 2002»
13 years 9 months ago
Evolvable Hardware for the Generation of Sequential Filter Circuits
Evolutionary algorithms (EAs) are regularly used both for the solution of scheduling problems, and for the creation of digital circuit designs. This paper describes a unified app...
Robert Thomson, Tughrul Arslan