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GECCO
2010
Springer
155views Optimization» more  GECCO 2010»
14 years 1 months ago
Evolutionary optimization of flavors
We have acquired panelist data that provides hedonic (liking) ratings for a set of 40 flavors each composed of the same 7 ingredients at different concentration levels. Our goal...
Kalyan Veeramachaneni, Katya Vladislavleva, Matt B...
GECCO
2007
Springer
158views Optimization» more  GECCO 2007»
14 years 11 days ago
A GP neutral function for the artificial ANT problem
This paper introduces a function that increases the amount of neutrality (inactive code in Genetic Programming) for the Artificial Ant Problem. The objective of this approach is t...
Esteban Ricalde, Katya Rodríguez-Váz...
CEC
2007
IEEE
14 years 14 days ago
A multi-layered solution for supporting isp traffic demand using genetic algorithm
This paper proposes a unique feedback governed multi layered architectural model to support ISP's traffic demands with multiple Quality of Service(QoS) constraints. The propos...
Gajaruban Kandavanam, Dmitri Botvich, Sasitharan B...
GECCO
2006
Springer
162views Optimization» more  GECCO 2006»
14 years 4 days ago
Evolutionary learning with kernels: a generic solution for large margin problems
In this paper we embed evolutionary computation into statistical learning theory. First, we outline the connection between large margin optimization and statistical learning and s...
Ingo Mierswa
ACL2
2006
ACM
14 years 2 months ago
Phylogenetic trees in ACL2
Biologists studying the evolutionary relationships between organisms use software packages to solve the computational problems they encounter. Several of these problems involve th...
Warren A. Hunt Jr., Serita M. Nelesen