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CEC
2009
IEEE
15 years 4 months ago
Representation and structural biases in CGP
— An evolutionary algorithm automatically discovers suitable solutions to a problem, which may lie anywhere in a large search space of candidate solutions. In the case of Genetic...
Andrew J. Payne, Susan Stepney
GECCO
2006
Springer
218views Optimization» more  GECCO 2006»
15 years 1 months ago
A survey of mutation techniques in genetic programming
The importance of mutation varies across evolutionary computation domains including: genetic programming, evolution strategies, and genetic algorithms. In the genetic programming ...
Alan Piszcz, Terence Soule
GECCO
2003
Springer
15 years 2 months ago
Methods for Evolving Robust Programs
Many evolutionary computation search spaces require fitness assessment through the sampling of and generalization over a large set of possible cases as input. Such spaces seem par...
Liviu Panait, Sean Luke
PPSN
2004
Springer
15 years 2 months ago
Evolving Genetic Regulatory Networks for Hardware Fault Tolerance
We present a new approach that is able to produce an increased fault tolerance in bio-inspired electronic circuits. To this end, we designed hardwarefriendly genetic regulatory net...
Arne Koopman, Daniel Roggen
GECCO
2003
Springer
121views Optimization» more  GECCO 2003»
15 years 2 months ago
Evolving Hogg's Quantum Algorithm Using Linear-Tree GP
Intermediate measurements in quantum circuits compare to conditional branchings in programming languages. Due to this, quantum circuits have a natural linear-tree structure. In thi...
André Leier, Wolfgang Banzhaf