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...
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...
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...
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...
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...