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» A New Approach to Strongly Polynomial Linear Programming
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CODES
2007
IEEE
15 years 7 months ago
Locality optimization in wireless applications
There is a strong need now for compilers of embedded systems to find effective ways of optimizing series of loop-nests, wherein majority of the memory references occur in the fo...
Javed Absar, Min Li, Praveen Raghavan, Andy Lambre...
GECCO
2006
Springer
179views Optimization» more  GECCO 2006»
15 years 5 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
CSFW
2007
IEEE
15 years 7 months ago
Creating Vulnerability Signatures Using Weakest Preconditions
Signature-based tools such as network intrusion detection systems are widely used to protect critical systems. Automatic signature generation techniques are needed to enable these...
David Brumley, Hao Wang, Somesh Jha, Dawn Xiaodong...
ICC
2009
IEEE
121views Communications» more  ICC 2009»
14 years 11 months ago
Designing Demand-Wise Shared Protection Networks with Specified Minimum Dual-Failure Restorability
-- We develop a new integer linear programming model to optimally design demand-wise shared protection (DSP) networks to achieve specified minimum levels of dual-failure restorabil...
Jude Akpuh, John Doucette
JMLR
2006
108views more  JMLR 2006»
15 years 1 months ago
The Interplay of Optimization and Machine Learning Research
The fields of machine learning and mathematical programming are increasingly intertwined. Optimization problems lie at the heart of most machine learning approaches. The Special T...
Kristin P. Bennett, Emilio Parrado-Hernánde...