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» Evolving Quantum Circuits Using Genetic Algorithm
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EH
2004
IEEE
107views Hardware» more  EH 2004»
13 years 11 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
EH
2004
IEEE
125views Hardware» more  EH 2004»
13 years 11 months ago
Routine High-Return Human-Competitive Evolvable Hardware
This paper reviews the use of genetic programming as an automated invention machine for the synthesis of both the topology and sizing of analog electrical circuits. The paper focu...
John R. Koza, Martin A. Keane, Matthew J. Streeter
ICES
1998
Springer
131views Hardware» more  ICES 1998»
13 years 11 months ago
Aspects of Digital Evolution: Geometry and Learning
In this paper we present a new chromosome representation for evolving digital circuits. The representation is based very closely on the chip architecture of the Xilinx 6216 FPGA. W...
Julian F. Miller, Peter Thomson
TEC
2008
135views more  TEC 2008»
13 years 7 months ago
Quantum Genetic Optimization
Abstract--The complexity of the selection procedure of a genetic algorithm that requires reordering, if we restrict the class of the possible fitness functions to varying fitness f...
Andrea Malossini, Enrico Blanzieri, T. Calarco
GECCO
2000
Springer
150views Optimization» more  GECCO 2000»
13 years 11 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 ...