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125
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GECCO
2006
Springer
179views Optimization» more  GECCO 2006»
15 years 8 months ago
Local search for multiobjective function optimization: pareto descent method
Genetic Algorithm (GA) is known as a potent multiobjective optimization method, and the effectiveness of hybridizing it with local search (LS) has recently been reported in the li...
Ken Harada, Jun Sakuma, Shigenobu Kobayashi
139
Voted
IMECS
2007
15 years 6 months ago
Metamodel-Assisted Global Search Using a Probing Technique
—This paper presents a new metamodel-assisted metaheuristic algorithm for optimisation problems involving computationally expensive simulations. The algorithm, called Global Prob...
Anna Persson, Henrik Grimm, Amos Ng
SDM
2007
SIAM
204views Data Mining» more  SDM 2007»
15 years 6 months ago
Flexible Anonymization For Privacy Preserving Data Publishing: A Systematic Search Based Approach
k-anonymity is a popular measure of privacy for data publishing: It measures the risk of identity-disclosure of individuals whose personal information are released in the form of ...
Bijit Hore, Ravi Chandra Jammalamadaka, Sharad Meh...
133
Voted
RECOMB
2002
Springer
16 years 4 months ago
Approximate matching of secondary structures
This talk presents an algorithm to search for all approximate matches of a helix in a genome, where a helix is a combination of sequence and folding constraints. It is a joint wor...
Nadia El-Mabrouk, Mathieu Raffinot
155
Voted
SIGIR
2009
ACM
15 years 11 months ago
Extracting structured information from user queries with semi-supervised conditional random fields
When search is against structured documents, it is beneficial to extract information from user queries in a format that is consistent with the backend data structure. As one step...
Xiao Li, Ye-Yi Wang, Alex Acero