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GECCO
2003
Springer
15 years 3 months ago
A Kernighan-Lin Local Improvement Heuristic That Solves Some Hard Problems in Genetic Algorithms
We present a Kernighan-Lin style local improvement heuristic for genetic algorithms. We analyze the run-time cost of the heuristic. We demonstrate through experiments that the heur...
William A. Greene
CTW
2006
112views more  CTW 2006»
14 years 10 months ago
Cross border railway operations: improving safety at cultural interfaces
Organizations with different cultures will be increasingly required to interface with each other as legislation is introduced to ensure the interoperability of railway systems acr...
S. O. Johnsen, J. Vatn, R. Rosness, I. A. Herrera
BMCBI
2010
140views more  BMCBI 2010»
14 years 7 months ago
An improved machine learning protocol for the identification of correct Sequest search results
Background: Mass spectrometry has become a standard method by which the proteomic profile of cell or tissue samples is characterized. To fully take advantage of tandem mass spectr...
Morten Kallberg, Hui Lu
IJCNN
2007
IEEE
15 years 4 months ago
Using Artificial Neural Networks and Feature Saliency Techniques for Improved Iris Segmentation
—One of the basic challenges to robust iris recognition is iris segmentation. This paper proposes the use of a feature saliency algorithm and an artificial neural network to perf...
Randy P. Broussard, Lauren R. Kennell, David L. So...
ICCS
2009
Springer
14 years 7 months ago
Bending Virtual Spring-Damper: A Solution to Improve Local Platoon Control
This article presents a local control approach to linear vehicle platooning. Linear platoon systems are sets of vehicles that use local or global perception capabilities to form a ...
Jean-Michel Contet, Franck Gechter, Pablo Gruer, A...