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130
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CC
2006
Springer
124views System Software» more  CC 2006»
15 years 6 months ago
Hybrid Optimizations: Which Optimization Algorithm to Use?
We introduce a new class of compiler heuristics: hybrid optimizations. Hybrid optimizations choose dynamically at compile time which optimization algorithm to apply from a set of d...
John Cavazos, J. Eliot B. Moss, Michael F. P. O'Bo...
120
Voted
CEC
2005
IEEE
15 years 8 months ago
Hybrid evolutionary static scheduling for heterogeneous systems
Abstract- The complexity of the static scheduling problem on heterogeneous resources has motivated the development of low complexity heuristics such as list scheduling. However, th...
Cristina Boeres, Eyder Rios, Luiz Satoru Ochi
SIPS
2007
IEEE
15 years 8 months ago
Embedded Reconfigurable Solution for OFDM Detection Over Fast Fading Radio Channels
OFDM demodulation under fast fading radio channels is very computationally demanding, making the implementation of Software Defined Radio (SDR) solutions problematic. A suboptima...
Mihai Sima, Michael McGuire
156
Voted
GECCO
2006
Springer
162views Optimization» more  GECCO 2006»
15 years 6 months ago
Evolutionary learning with kernels: a generic solution for large margin problems
In this paper we embed evolutionary computation into statistical learning theory. First, we outline the connection between large margin optimization and statistical learning and s...
Ingo Mierswa
135
Voted
LCTRTS
1999
Springer
15 years 6 months ago
Optimizing for Reduced Code Space using Genetic Algorithms
Code space is a critical issue facing designers of software for embedded systems. Many traditional compiler optimizations are designed to reduce the execution time of compiled cod...
Keith D. Cooper, Philip J. Schielke, Devika Subram...