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GECCO
2006
Springer
150views Optimization» more  GECCO 2006»
15 years 1 months ago
Nonlinear parametric regression in genetic programming
Genetic programming has been considered a promising approach for function approximation since it is possible to optimize both the functional form and the coefficients. However, it...
Yung-Keun Kwon, Sung-Soon Choi, Byung Ro Moon
BMCBI
2011
14 years 4 months ago
Simulated evolution applied to study the genetic code optimality using a model of codon reassignments
Background: As the canonical code is not universal, different theories about its origin and organization have appeared. The optimization or level of adaptation of the canonical ge...
Jose Santos, Ángel Monteagudo
AHS
2006
IEEE
108views Hardware» more  AHS 2006»
14 years 12 months ago
A Multi-Objective Genetic Algorithm for On-Chip Real-time Adaptation of a Multi-Carrier Based Telecommunications Receiver
This paper presents a multi-objective algorithm for on-line adaptation of a multi-carrier code-division multiple access (MC-CDMA) receiver. A specially tailored Genetic Algorithm ...
Nasri Sulaiman, Ahmet T. Erdogan
GECCO
2005
Springer
118views Optimization» more  GECCO 2005»
15 years 3 months ago
G2DGA: an adaptive framework for internet-based distributed genetic algorithms
The Internet is different from traditional parallel computing environments, and Distributed Genetic Algorithms (DGAs) for the Internet need to be designed to address these diffe...
Johan Berntsson
IWANN
2001
Springer
15 years 2 months ago
A New Approach to Evolutionary Computation: Segregative Genetic Algorithms (SEGA)
This paper looks upon the standard genetic algorithm as an artificial self-organizing process. With the purpose to provide concepts that make the algorithm more open for scalabili...
Michael Affenzeller