50 search results - page 2 / 10 » Genetic programming: optimal population sizes for varying co... |
EUROGP
2000
Springer
13 years 8 months ago
2000
Springer
We show genetic programming (GP) populations can evolve under the influence of a Pareto multi-objective fitness and program size selection scheme, from "perfect" programs...
GECCO
2008
Springer
13 years 6 months ago
2008
Springer
The crossover bias theory for bloat [18] is a recent result which predicts that bloat is caused by the sampling of short, unfit programs. This theory is clear and simple, but it ...
GECCO
2004
Springer
13 years 10 months ago
2004
Springer
Abstract. Bloat is a common and well studied problem in genetic programming. Size and depth limits are often used to combat bloat, but to date there has been little detailed explor...
CEC
2009
IEEE
14 years 16 hour ago
2009
IEEE
— Genetic algorithms (GAs) have been argued to constitute a flexible search thereby enabling to solve difficult problems which classical optimization methodologies may find ha...
EUROGP
2000
Springer
13 years 8 months ago
2000
Springer
Abstract. Statistical techniques for designing and analysing experiments are used to evaluate the individual and combined effects of genetic programming parameters. Three binary cl...