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GECCO
2005
Springer
131views Optimization» more  GECCO 2005»
15 years 3 months ago
Evolution of a human-competitive quantum fourier transform algorithm using genetic programming
In this paper, we show how genetic programming (GP) can be used to evolve system-size-independent quantum algorithms, and present a human-competitive Quantum Fourier Transform (QF...
Paul Massey, John A. Clark, Susan Stepney
GECCO
2005
Springer
136views Optimization» more  GECCO 2005»
15 years 3 months ago
On the stationary distribution of GAs with fixed crossover probability
We analyse the convergence of a GA when the mutation probability is low and the selection pressure is high, for arbitrary crossover types and probabilities. We succeed in mathemat...
U. Chandimal de Silva, Joe Suzuki
GECCO
2005
Springer
15 years 3 months ago
On the practical genetic algorithms
This paper offers practical design-guidelines for developing efficient genetic algorithms (GAs) to successfully solve realworld problems. As an important design component, a prac...
Chang Wook Ahn, Sanghoun Oh, Rudrapatna S. Ramakri...
GECCO
2005
Springer
126views Optimization» more  GECCO 2005»
15 years 3 months ago
Challenges for biologically-inspired computing
We discuss a number of fundamental areas in which biologically inspired computing has so far failed to mirror biological reality. These failures make it difficult for those who st...
Russ Abbott
GECCO
2005
Springer
133views Optimization» more  GECCO 2005»
15 years 3 months ago
Parsing and translation of expressions by genetic programming
We have investigated the potential for using genetic programming to evolve compiler parsing and translation routines for processing arithmetic and logical expressions as they are ...
David Jackson