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GECCO
2008
Springer
163views Optimization» more  GECCO 2008»
13 years 11 months ago
Embedded evolutionary multi-objective optimization for worst case robustness
In Multi-Objective Problems (MOPs) involving uncertainty, each solution might be associated with a cluster of performances in the objective space depending on the possible scenari...
Gideon Avigad, Jürgen Branke
GECCO
2005
Springer
108views Optimization» more  GECCO 2005»
14 years 4 months ago
Hybridizing evolutionary algorithms and clustering algorithms to find source-code clones
This paper presents a hybrid approach to detect source-code clones that combines evolutionary algorithms and clustering. A case-study is conducted on a small C++ code base. The pr...
Andrew Sutton, Huzefa H. Kagdi, Jonathan I. Maleti...
IJON
2006
111views more  IJON 2006»
13 years 10 months ago
Applications of multi-objective structure optimization
We present an application of multi-objective evolutionary optimization of feed-forward neural networks (NN) to two real world problems, car and face classification. The possibly co...
Alexander Gepperth, Stefan Roth
FPGA
2009
ACM
188views FPGA» more  FPGA 2009»
14 years 5 months ago
Clock power reduction for virtex-5 FPGAs
Clock network power in field-programmable gate arrays (FPGAs) is considered and two complementary approaches for clock power reduction in the Xilinx R VirtexTM -5 FPGA are presen...
Qiang Wang, Subodh Gupta, Jason Helge Anderson
ICASSP
2008
IEEE
14 years 5 months ago
Systematic generation of FPGA-based FFT implementations
In this paper, we propose a systemic approach for synthesizing field-programmable gate array (FPGA) implementations of fast Fourier transform (FFT) computations. Our approach cons...
Hojin Kee, Newton Petersen, Jacob Kornerup, Shuvra...