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GECCO
2008
Springer
163views Optimization» more  GECCO 2008»
15 years 7 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»
15 years 11 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»
15 years 6 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»
16 years 23 days 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
16 years 13 days 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...