976 search results - page 186 / 196 » Multimodal Optimization Using a Bi-Objective Evolutionary Al... |
GECCO
2007
Springer
14 years 3 months ago
2007
Springer
A significant problem for evolving artificial neural networks is that the physical arrangement of sensors and effectors is invisible to the evolutionary algorithm. For example,...
GECCO
2007
Springer
14 years 3 months ago
2007
Springer
A number of heuristics have been used in Learning Classifier Systems to initialise parameters of new rules, to adjust fitness of parent rules when they generate offspring, and ...
GECCO
2005
Springer
14 years 2 months ago
2005
Springer
The need to build modular, scalable, and complex technology capable of adaptation, self-assembly, and self-repair has fuelled renewed interest in using approaches inspired by deve...
GECCO
2004
Springer
14 years 2 months ago
2004
Springer
In evolutionary algorithms a common method for encoding neural networks is to use a tree-structured assembly procedure for constructing them. Since node operators have difficulties...
GECCO
2003
Springer
14 years 2 months ago
2003
Springer
Abstract. The problem of designing symmetric key cryptography algorithms based upon cellular automata (CAs) is considered. The reliability of the Vernam cipher used in the process ...