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» An Indirect Genetic Algorithm for Set Covering Problems
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GECCO
2007
Springer
179views Optimization» more  GECCO 2007»
15 years 5 months ago
Evolutionary selection of minimum number of features for classification of gene expression data using genetic algorithms
Selecting the most relevant factors from genetic profiles that can optimally characterize cellular states is of crucial importance in identifying complex disease genes and biomark...
Alper Küçükural, Reyyan Yeniterzi...
77
Voted
ISDA
2005
IEEE
15 years 4 months ago
Managing of Cooperative Genetic Algorithms by Intelligent Agent
Genetic Algorithms (GAs) are very popular optimization tool, although efficient applications of GAs requires users have problem with setting their parameters and used genetic ope...
Halina Kwasnicka, Magdalena Gierusz
ICRA
2008
IEEE
125views Robotics» more  ICRA 2008»
15 years 5 months ago
An approximation algorithm for the least overlapping p-Frame problem with non-partial coverage for networked robotic cameras
Abstract— We report our algorithmic development of the pframe problem that addresses the need of coordinating a set of p networked robotic pan-tilt-zoom cameras for n, (n > p)...
Yiliang Xu, Dezhen Song, Jingang Yi, A. Frank van ...
76
Voted
GECCO
2005
Springer
101views Optimization» more  GECCO 2005»
15 years 4 months ago
A scalable parallel genetic algorithm for x-ray spectroscopic analysis
We use a parallel multi-objective genetic algorithm to drive a search and reconstruction spectroscopic analysis of plasma gradients in inertial confinement fusion (ICF) implosion...
Kai Xu, Sushil J. Louis, Roberto C. Mancini
83
Voted
CEC
2008
IEEE
15 years 5 months ago
High-level synthesis with multi-objective genetic algorithm: A comparative encoding analysis
— The high-level synthesis process involves three interdependent and NP-complete optimization problems: (i) the operation scheduling, (ii) the resource allocation, and (iii) the ...
Christian Pilato, Daniele Loiacono, Fabrizio Ferra...