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IJAIT
2008
62views more  IJAIT 2008»
13 years 4 months ago
Probabilistic Adaptive Crossover (PAX): a Novel Genetic Algorithm Crossover Methodology
Sebastián A. Salah, Manuel A. Duarte-Mermou...
GECCO
2010
Springer
129views Optimization» more  GECCO 2010»
13 years 9 months ago
A probabilistic functional crossover operator for genetic programming
The original mechanism by which evolutionary algorithms were to solve problems was to allow for the gradual discovery of sub-solutions to sub-problems, and the automated combinati...
Josh C. Bongard
GECCO
2005
Springer
129views Optimization» more  GECCO 2005»
13 years 10 months ago
Real-coded crossover as a role of kernel density estimation
This paper presents a kernel density estimation method by means of real-coded crossovers. Estimation of density algorithms (EDAs) are evolutionary optimization techniques, which d...
Jun Sakuma, Shigenobu Kobayashi
GECCO
2006
Springer
218views Optimization» more  GECCO 2006»
13 years 8 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
ANOR
2010
123views more  ANOR 2010»
13 years 5 months ago
Nature inspired genetic algorithms for hard packing problems
This paper presents two novel genetic algorithms (GAs) for hard industrially relevant packing problems. The design of both algorithms is inspired by aspects of molecular genetics,...
Philipp Rohlfshagen, John A. Bullinaria