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EAAI
2006
189views more  EAAI 2006»
15 years 24 days ago
Evolutionary algorithms for VLSI multi-objective netlist partitioning
The problem of partitioning appears in several areas ranging from VLSI, parallel programming, to molecular biology. The interest in finding an optimal partition especially in VLSI ...
Sadiq M. Sait, Aiman H. El-Maleh, Raslan H. Al-Aba...
108
Voted
NAR
2007
124views more  NAR 2007»
15 years 8 days ago
EVEREST: a collection of evolutionary conserved protein domains
Protein domains are subunits of proteins that recur throughout the protein world. There are many definitions attempting to capture the essence of a protein domain, and several sys...
Elon Portugaly, Nathan Linial, Michal Linial
93
Voted
GECCO
2007
Springer
162views Optimization» more  GECCO 2007»
15 years 7 months ago
A multi-objective approach to discover biclusters in microarray data
The main motivation for using a multi–objective evolutionary algorithm for finding biclusters in gene expression data is motivated by the fact that when looking for biclusters ...
Federico Divina, Jesús S. Aguilar-Ruiz
69
Voted
GECCO
2007
Springer
163views Optimization» more  GECCO 2007»
15 years 7 months ago
Action-selection and crossover strategies for self-modeling machines
In previous work [7] a computational framework was demonstrated that employs evolutionary algorithms to automatically model a given system. This is accomplished by alternating the...
Josh C. Bongard
145
Voted
GECCO
2008
Springer
172views Optimization» more  GECCO 2008»
15 years 1 months ago
Empirical analysis of a genetic algorithm-based stress test technique
Evolutionary testing denotes the use of evolutionary algorithms, e.g., Genetic Algorithms (GAs), to support various test automation tasks. Since evolutionary algorithms are heuris...
Vahid Garousi