12 search results - page 1 / 3 » An analysis of constructive crossover and selection pressure... |
GECCO
2007
Springer
13 years 10 months ago
2007
Springer
A common problem in genetic programming search algorithms is destructive crossover in which the offspring of good parents generally has worse performance than the parents. Design...
GECCO
2007
Springer
13 years 10 months ago
2007
Springer
Crossover in Genetic Programming is mostly a destructive operator, generally producing children worse than the parents and occasionally producing those who are better. A recently ...
EUROGP
2006
Springer
13 years 8 months ago
2006
Springer
Abstract. To analyse various properties of the search process of genetic programming it is useful to quantify the distance between two individuals. Using operator-based distance me...
ICGA
1997
13 years 6 months ago
1997
In this paper we first review the main results in the theory of schemata in Genetic Programming (GP) and summarise a new GP schema theory which is based on a new definition of s...
GECCO
2009
Springer
13 years 11 months ago
2009
Springer
When an optimization problem is encoded using genetic algorithms, one must address issues of population size, crossover and mutation operators and probabilities, stopping criteria...