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EUROGP
2006
Springer
112views Optimization» more  EUROGP 2006»
13 years 11 months ago
The Halting Probability in Von Neumann Architectures
Abstract. Theoretical models of Turing complete linear genetic programming (GP) programs suggest the fraction of halting programs is vanishingly small. Convergence results proved f...
William B. Langdon, Riccardo Poli
GECCO
2006
Springer
202views Optimization» more  GECCO 2006»
13 years 11 months ago
Evolving hash functions by means of genetic programming
The design of hash functions by means of evolutionary computation is a relatively new and unexplored problem. In this work, we use Genetic Programming (GP) to evolve robust and fa...
César Estébanez, Julio César ...
ISCAS
1999
IEEE
82views Hardware» more  ISCAS 1999»
13 years 12 months ago
Synthesis of low coefficient sensitivity digital filters using genetic programming
This paper proposes a new approach to the synthesis of low coefficient sensitivity digital filters using Genetic Programming (GP). GP is applied to the synthesis problem by establi...
K. Uesaka, M. Kawamata
GPEM
2002
145views more  GPEM 2002»
13 years 7 months ago
An Analysis of the Causes of Code Growth in Genetic Programming
Abstract. This research examines the cause of code growth (bloat) in genetic programming (GP). Currently there are three hypothesized causes of code growth in GP: protection, drift...
Terence Soule, Robert B. Heckendorn
GECCO
2003
Springer
117views Optimization» more  GECCO 2003»
14 years 27 days ago
Improving Evolvability of Genetic Parallel Programming Using Dynamic Sample Weighting
Abstract. This paper investigates the sample weighting effect on Genetic Parallel Programming (GPP) that evolves parallel programs to solve the training samples captured directly f...
Sin Man Cheang, Kin-Hong Lee, Kwong-Sak Leung