161 search results - page 18 / 33 » Fitness Sharing in Genetic Programming |
GECCO
2004
Springer
14 years 1 months ago
2004
Springer
In this paper we examine the effects of single node mutations on trees evolved via genetic programming. The results show that neutral mutations are less likely for nodes nearer th...
ECP
1997
Springer
13 years 12 months ago
1997
Springer
In this paper we describe SINERGY, which is a highly parallelizable, linear planning system that is based on the genetic programming paradigm. Rather than reasoning about the world...
CEC
2005
IEEE
14 years 1 months ago
2005
IEEE
A grouping genetic algorithm (GGA) for the university course timetabling problem is outlined. We propose six different fitness functions, all sharing the same common goal, and look...
ENGL
2007
13 years 7 months ago
2007
—Genetic Algorithms (GA) and Evolutionary Programming (EP) are two well-known optimization methods that belong to the class of Evolutionary Algorithms (EA). Both methods have gen...
GECCO
2007
Springer
13 years 11 months ago
2007
Springer
This paper introduces a function that increases the amount of neutrality (inactive code in Genetic Programming) for the Artificial Ant Problem. The objective of this approach is t...