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GECCO
2007
Springer
187views Optimization» more  GECCO 2007»
14 years 2 months ago
Defining implicit objective functions for design problems
In many design tasks it is difficult to explicitly define an objective function. This paper uses machine learning to derive an objective in a feature space based on selected examp...
Sean Hanna
GECCO
2005
Springer
155views Optimization» more  GECCO 2005»
14 years 2 months ago
An artificial immune network for multimodal function optimization on dynamic environments
Multimodal optimization algorithms inspired by the immune system are generally characterized by a dynamic control of the population size and by diversity maintenance along the sea...
Fabrício Olivetti de França, Fernand...
ICCAD
2005
IEEE
83views Hardware» more  ICCAD 2005»
14 years 5 months ago
Post-placement rewiring and rebuffering by exhaustive search for functional symmetries
Separate optimizations of logic and layout have been thoroughly studied in the past and are well documented for common benchmarks. However, to be competitive, modern circuit optim...
Kai-Hui Chang, Igor L. Markov, Valeria Bertacco
FPGA
1997
ACM
120views FPGA» more  FPGA 1997»
14 years 19 days ago
Partially-Dependent Functional Decomposition with Applications in FPGA Synthesis and Mapping
In this paper, we give a necessary and sufficient condition for the existence of partially-dependent functional decomposition and develop new algorithms to compute such decomposi...
Jason Cong, Yean-Yow Hwang
IEEEHPCS
2010
13 years 6 months ago
Fast learning for multibiometrics systems using genetic algorithms
The performance (in term of error rate) of biometric systems can be improved by combining them. Multiple fusion techniques can be applied from classical logical operations to more...
Romain Giot, Mohamad El-Abed, Christophe Rosenberg...