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GECCO
2006
Springer
154views Optimization» more  GECCO 2006»
14 years 16 days ago
Emergent mating topologies in spatially structured genetic algorithms
The application of network analysis to emergent mating topologies in spatially structured genetic algorithms is presented in this preliminary study as a framework for inferring ev...
Joshua L. Payne, Margaret J. Eppstein
TREC
2003
13 years 10 months ago
Ranking Function Discovery by Genetic Programming for Robust Retrieval
Ranking functions are instrumental for the success of an information retrieval (search engine) system. However nearly all existing ranking functions are manually designed based on...
Li Wang, Weiguo Fan, Rui Yang, Wensi Xi, Ming Luo,...
GECCO
1999
Springer
133views Optimization» more  GECCO 1999»
14 years 1 months ago
Non-Standard Crossover for a Standard Representation - Commonality-Based Feature Subset Selection
The Commonality-Based Crossover Framework has been presented as a general model for designing problem specific operators. Following this model, the Common Features/Random Sample ...
Stephen Y. Chen, Cesar Guerra-Salcedo, Stephen F. ...
DFT
2009
IEEE
210views VLSI» more  DFT 2009»
14 years 4 days ago
Optimizing Parametric BIST Using Bio-inspired Computing Algorithms
Optimizing the BIST configuration based on the characteristics of the design under test is a complicated and challenging work for test engineers. Since this problem has multiple o...
Nastaran Nemati, Amirhossein Simjour, Amirali Ghof...
GECCO
2005
Springer
158views Optimization» more  GECCO 2005»
14 years 2 months ago
Constructive induction and genetic algorithms for learning concepts with complex interaction
Constructive Induction is the process of transforming the original representation of hard concepts with complex interaction into a representation that highlights regularities. Mos...
Leila Shila Shafti, Eduardo Pérez