699 search results - page 28 / 140 » A new representation in evolutionary algorithms for the opti... |
CC
2010
Springer
13 years 7 months ago
2010
Springer
Abstract. We introduce the concept of future values. Using future values it is possible to represent programs in a new control-flow form such that on any control flow path the data...
PPSN
2004
Springer
14 years 2 months ago
2004
Springer
This article describes a new model of probability density function and its use in estimation of distribution algorithms. The new model, the distribution tree, has interesting prope...
EC
2008
13 years 8 months ago
2008
We present a statistical model of empirical optimization that admits the creation of algorithms with explicit and intuitively defined desiderata. Because No Free Lunch theorems di...
EUROGP
2003
Springer
14 years 2 months ago
2003
Springer
This paper presents a method of using genetic programming to seek new cellular automata that perform computational tasks. Two genetic algorithms are used : the first one discovers ...
GECCO
2006
Springer
14 years 13 days ago
2006
Springer
1 Learnable Evolution Model (LEM) is a form of non-Darwinian evolutionary computation that employs machine learning to guide evolutionary processes. Its main novelty are new type o...