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GECCO
2007
Springer
178views Optimization» more  GECCO 2007»
14 years 1 months ago
Transgenetic algorithm: a new evolutionary perspective for heuristics design
Transgenetic algorithms are evolutionary computing techniques based on living processes where cooperation is the main evolutionary strategy. Those processes contain the movement o...
Elizabeth Ferreira Gouvea Goldbarg, Marco Cé...
GECCO
2004
Springer
14 years 24 days ago
A Systematic Study of Genetic Algorithms with Genotype Editing
Abstract. This paper continues our systematic study of an RNAediting computational model of Genetic Algorithms (GA). This model is constructed based on several genetic editing char...
Chien-Feng Huang, Luis Mateus Rocha
ARCS
2006
Springer
13 years 11 months ago
Biologically-Inspired Optimization of Circuit Performance and Leakage: A Comparative Study
State-of-the-art technologies in very large scale integration (VLSI) allow for the realization of gates with varying energy consumptions and hence delays (i.e., processing speeds) ...
Ralf Salomon, Frank Sill
ET
2010
113views more  ET 2010»
13 years 4 months ago
Calibration and Test Time Reduction Techniques for Digitally-Calibrated Designs: an ADC Case Study
Modern mixed-signal/RF circuits with a digital calibration capability could achieve significant performance improvement through calibration. However, the calibration process often ...
Hsiu-Ming Chang, Kuan-Yu Lin, Kwang-Ting (Tim) Che...
GECCO
2007
Springer
174views Optimization» more  GECCO 2007»
14 years 1 months ago
Heuristic speciation for evolving neural network ensemble
Speciation is an important concept in evolutionary computation. It refers to an enhancements of evolutionary algorithms to generate a set of diverse solutions. The concept is stud...
Shin Ando