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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 9 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 9 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 4 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 8 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 10 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, ...