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» A Genetic Algorithm Applied to the Maximum Flow Problem
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ICST
2009
IEEE
14 years 2 months ago
Generating Feasible Transition Paths for Testing from an Extended Finite State Machine (EFSM)
The problem of testing from an extended finite state machine (EFSM) can be expressed in terms of finding suitable paths through the EFSM and then deriving test data to follow the ...
Abdul Salam Kalaji, Robert M. Hierons, Stephen Swi...
ICFP
2007
ACM
14 years 7 months ago
Relating complexity and precision in control flow analysis
We analyze the computational complexity of kCFA, a hierarchy of control flow analyses that determine which functions may be applied at a given call-site. This hierarchy specifies ...
David Van Horn, Harry G. Mairson
BMCBI
2008
132views more  BMCBI 2008»
13 years 7 months ago
Clustering ionic flow blockade toggles with a Mixture of HMMs
Background: Ionic current blockade signal processing, for use in nanopore detection, offers a promising new way to analyze single molecule properties with potential implications f...
Alexander G. Churbanov, Stephen Winters-Hilt
IJCAI
1993
13 years 9 months ago
Evolutionary Learning Strategy using Bug-Based Search
We introduce a new approach to GA (Genetic Algorithms) based problem solving. Earlier GAs did not contain local search (i.e. hill climbing) mechanisms, which led to optimization d...
Hitoshi Iba, Tetsuya Higuchi, Hugo de Garis, Taisu...
ICCSA
2005
Springer
14 years 1 months ago
Comparison of Global Optimization Methods for Drag Reduction in the Automotive Industry
Various global optimization methods are compared in order to find the best strategy to solve realistic drag reduction problems in the automotive industry. All the methods consist ...
Laurent Dumas, Vincent Herbert, Frédé...