Sciweavers

22 search results - page 1 / 5
» Evolving Digital Circuits using Multi Expression Programming
Sort
View
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
EH
2004
IEEE
107views Hardware» more  EH 2004»
13 years 8 months ago
Evolving Digital Circuits using Multi Expression Programming
Multi Expression Programming (MEP) is a Genetic Programming (GP) variant that uses linear chromosomes for solution encoding. A unique MEP feature is its ability of encoding multipl...
Mihai Oltean, Crina Grosan
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
GECCO
2000
Springer
150views Optimization» more  GECCO 2000»
13 years 8 months ago
Automatic Synthesis of Electrical Circuits Containing a Free Variable Using Genetic Programming
A mathematical formula containing one or more free variables is "general" in the sense that it represents the solution to all instances of a problem (instead of just the...
John R. Koza, Martin A. Keane, Jessen Yu, William ...
ICES
2003
Springer
101views Hardware» more  ICES 2003»
13 years 10 months ago
A Developmental Method for Growing Graphs and Circuits
A review is given of approaches to growing neural networks and electronic circuits. A new method for growing graphs and circuits using a developmental process is discussed. The met...
Julian F. Miller, Peter Thomson