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» Optimizing for Reduced Code Space using Genetic Algorithms
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EMO
2001
Springer
107views Optimization» more  EMO 2001»
15 years 6 months ago
Reducing Local Optima in Single-Objective Problems by Multi-objectivization
One common characterization of how simple hill-climbing optimization methods can fail is that they become trapped in local optima - a state where no small modi cation of the curren...
Joshua D. Knowles, Richard A. Watson, David Corne
IFIP
2001
Springer
15 years 6 months ago
An Evolutionary Approach for Pareto-optimal Configurations in SOC Platforms
: One of the most important problems in SOC platforms design is that of defining strategies for tuning the parameters of a parameterized system so as to obtain the Pareto-optimal s...
Giuseppe Ascia, Vincenzo Catania, Maurizio Palesi
TWC
2008
113views more  TWC 2008»
15 years 1 months ago
Two-dimensional coded classification schemes in wireless sensor networks
Abstract-- This work proposes a novel fault-tolerant classification system based on distributed detection and two-dimensional channel coding. A rule is then derived to reduce the s...
Hung-Ta Pai, Yunghsiang S. Han, Jing-Tian Sung
ESTIMEDIA
2006
Springer
15 years 5 months ago
Use of a Bit-true Data Flow Analysis for Processor-Specific Source Code Optimization
Nowadays, key characteristics of a processor's instruction set are only exploited in high-level languages by using inline assembly or compiler intrinsics. Inserting intrinsic...
Heiko Falk, Jens Wagner, André Schaefer
INFOCOM
2007
IEEE
15 years 8 months ago
Evolutionary Approaches To Minimizing Network Coding Resources
Abstract— We consider the problem of minimizing the resources used for network coding while achieving the desired throughput in a multicast scenario. Since this problem is NPhard...
Minkyu Kim, Muriel Médard, Varun Aggarwal, ...