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» The Spatially-Dispersed Genetic Algorithm
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GECCO
2003
Springer
141views Optimization» more  GECCO 2003»
15 years 12 months ago
Finding the Optimal Gene Order in Displaying Microarray Data
The rapid advances of genome-scale sequencing have brought out the necessity of developing new data processing techniques for enormous genomic data. Microarrays, for example, can g...
Seung-Kyu Lee, Yong-Hyuk Kim, Byung Ro Moon
GECCO
2008
Springer
111views Optimization» more  GECCO 2008»
15 years 7 months ago
Single-objective front optimization: application to rf circuit design
This paper proposes a new algorithm which promotes well distributed non-dominated fronts in the parameters space when a single-objective function is optimized. This algorithm is b...
Eduardo José Solteiro Pires, Luís Me...
GECCO
2009
Springer
109views Optimization» more  GECCO 2009»
16 years 1 months ago
Canonical representation genetic programming
Search spaces sampled by the process of Genetic Programming often consist of programs which can represent a function in many different ways. Thus, when the space is examined it i...
John R. Woodward, Ruibin Bai
GECCO
2007
Springer
178views Optimization» more  GECCO 2007»
16 years 24 days ago
Coevolution of intelligent agents using cartesian genetic programming
A coevolutionary competitive learning environment for two antagonistic agents is presented. The agents are controlled by a new kind of computational network based on a compartment...
Gul Muhammad Khan, Julian Francis Miller, David M....
GECCO
2007
Springer
212views Optimization» more  GECCO 2007»
16 years 24 days ago
A developmental model of neural computation using cartesian genetic programming
The brain has long been seen as a powerful analogy from which novel computational techniques could be devised. However, most artificial neural network approaches have ignored the...
Gul Muhammad Khan, Julian F. Miller, David M. Hall...