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» Theory and Applications of Robust Optimization
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BMCBI
2007
169views more  BMCBI 2007»
14 years 12 months ago
Transcriptional regulatory network refinement and quantification through kinetic modeling, gene expression microarray data and i
Background: Gene expression microarray and other multiplex data hold promise for addressing the challenges of cellular complexity, refined diagnoses and the discovery of well-targ...
Abdallah Sayyed-Ahmad, Kagan Tuncay, Peter J. Orto...
ISCA
2002
IEEE
127views Hardware» more  ISCA 2002»
15 years 4 months ago
The Optimum Pipeline Depth for a Microprocessor
The impact of pipeline length on the performance of a microprocessor is explored both theoretically and by simulation. An analytical theory is presented that shows two opposing ar...
Allan Hartstein, Thomas R. Puzak
EOR
2006
130views more  EOR 2006»
14 years 12 months ago
A Benders decomposition approach for the robust spanning tree problem with interval data
The robust spanning tree problem is a variation, motivated by telecommunications applications, of the classic minimum spanning tree problem. In the robust spanning tree problem ed...
Roberto Montemanni
ATMOS
2007
114views Optimization» more  ATMOS 2007»
15 years 1 months ago
Fast Approaches to Robust Railway Timetabling
The Train Timetabling Problem (TTP) consists in finding a train schedule on a railway network that satisfies some operational constraints and maximizes a profit function which c...
Matteo Fischetti, Arrigo Zanette, Domenico Salvagn...
GECCO
2006
Springer
166views Optimization» more  GECCO 2006»
15 years 3 months ago
Comparing genetic robustness in generational vs. steady state evolutionary algorithms
Previous research has shown that evolutionary systems not only try to develop solutions that satisfy a fitness requirement, but indirectly attempt to develop genetically robust so...
Josh Jones, Terry Soule