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CEC
2010
IEEE
13 years 8 months ago
A novel memetic algorithm for constrained optimization
In this paper, we present a memetic algorithm with novel local optimizer hybridization strategy for constrained optimization. The developed MA consists of multiple cycles. In each ...
Jianyong Sun, Jonathan M. Garibaldi
CORR
2010
Springer
114views Education» more  CORR 2010»
13 years 6 months ago
Efficiently Discovering Hammock Paths from Induced Similarity Networks
ty networks are important abstractions in many information management applications such as recommender systems, corpora analysis, and medical informatics. For instance, in a recom...
M. Shahriar Hossain, Michael Narayan, Naren Ramakr...
KDD
2010
ACM
274views Data Mining» more  KDD 2010»
13 years 11 months ago
Grafting-light: fast, incremental feature selection and structure learning of Markov random fields
Feature selection is an important task in order to achieve better generalizability in high dimensional learning, and structure learning of Markov random fields (MRFs) can automat...
Jun Zhu, Ni Lao, Eric P. Xing
BMCBI
2010
115views more  BMCBI 2010»
13 years 7 months ago
Importance of replication in analyzing time-series gene expression data: Corticosteroid dynamics and circadian patterns in rat l
Background: Microarray technology is a powerful and widely accepted experimental technique in molecular biology that allows studying genome wide transcriptional responses. However...
Tung T. Nguyen, Richard R. Almon, Debra C. DuBois,...
BMCBI
2008
111views more  BMCBI 2008»
13 years 7 months ago
GENOMEPOP: A program to simulate genomes in populations
Background: There are several situations in population biology research where simulating DNA sequences is useful. Simulation of biological populations under different evolutionary...
Antonio Carvajal-Rodríguez