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GECCO
2004
Springer
134views Optimization» more  GECCO 2004»
15 years 12 months ago
A Descriptive Encoding Language for Evolving Modular Neural Networks
Evolutionary algorithms are a promising approach for the automated design of artificial neural networks, but they require a compact and efficient genetic encoding scheme to repres...
Jae-Yoon Jung, James A. Reggia
GECCO
2004
Springer
211views Optimization» more  GECCO 2004»
15 years 12 months ago
Adaptive and Evolvable Network Services
This paper proposes an evolutionary framework where a network service is created from a group of autonomous agents that interact and evolve. Agents in our framework are capable of ...
Tadashi Nakano, Tatsuya Suda
GECCO
2004
Springer
15 years 12 months ago
Winnowing Wheat from Chaff: The Chunking GA
In this work, we investigate the ability of a Chunking GA (ChGA) to reduce the size of variable length chromosomes and control bloat. The ChGA consists of a standard genetic algori...
Hal Stringer, Annie S. Wu
CSB
2003
IEEE
111views Bioinformatics» more  CSB 2003»
15 years 11 months ago
A Block Coding Method that Leads to Significantly Lower Entropy Values for the Proteins and Coding Sections of Haemophilus influ
A simple statistical block code in combination with the LZW-based compression utilities gzip and compress has been found to increase by a significant amount the level of compressi...
G. Sampath
EUROGP
2003
Springer
119views Optimization» more  EUROGP 2003»
15 years 11 months ago
Evolving Cellular Automata to Grow Microstructures
The properties of engineering structures such as cars, cell phones or bridges rely on materials and on the properties of these materials. The study of these properties, which are d...
David Basanta, Peter J. Bentley, Mark A. Miodownik...