Sciweavers

331 search results - page 10 / 67
» A New Crossover Operator for Genetic Algorithms
Sort
View
GECCO
2008
Springer
148views Optimization» more  GECCO 2008»
13 years 8 months ago
Combining cartesian genetic programming with an estimation of distribution algorithm
This paper describes initial testing of a novel idea to combine a CGP with an EDA. In recent work a new improved crossover technique was successfully applied to a CGP. To implemen...
Janet Clegg
GECCO
2006
Springer
218views Optimization» more  GECCO 2006»
13 years 11 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
ASPDAC
2000
ACM
92views Hardware» more  ASPDAC 2000»
13 years 11 months ago
Genetic algorithm accelerator GAA-II
We have developed a new GA hardware called GAA-I (Genetic Algorithm Accelerator-I), in which the crossover operator to be applied to each individual was dynamically selected during...
Shin'ichi Wakabayashi, Tetsushi Koide, Nayoshi Tos...
GECCO
2003
Springer
124views Optimization» more  GECCO 2003»
14 years 26 days ago
Study Diploid System by a Hamiltonian Cycle Problem Algorithm
Complex representation in Genetic Algorithms and pattern in real problems limits the effect of crossover to construct better pattern from sporadic building blocks. Instead of intro...
Dong Xianghui, Ruwei Dai
AIR
1998
103views more  AIR 1998»
13 years 7 months ago
Tackling Real-Coded Genetic Algorithms: Operators and Tools for Behavioural Analysis
Abstract. Genetic algorithms play a significant role, as search techniques for handling complex spaces, in many fields such as artificial intelligence, engineering, robotic, etc...
Francisco Herrera, Manuel Lozano, José L. V...