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» Evolving Quantum Circuits Using Genetic Algorithm
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DAC
2000
ACM
16 years 6 months ago
Formal verification of iterative algorithms in microprocessors
Contemporary microprocessors implement many iterative algorithms. For example, the front-end of a microprocessor repeatedly fetches and decodes instructions while updating interna...
Mark Aagaard, Robert B. Jones, Roope Kaivola, Kath...
ICSEA
2007
IEEE
15 years 11 months ago
Software Environment for Research on Evolving User Interface Designs
We investigate the trade off between investing effort in improving the features of a research environment that increases productivity and investing such effort in actually conduct...
Juan C. Quiroz, Anil Shankar, Sergiu M. Dascalu, S...
140
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IJCAI
1997
15 years 6 months ago
Evolvable Hardware for Generalized Neural Networks
This paper describes an evolvable hardware (EHW) system for generalized neural network learning. We have developed an ASIC VLSI chip, which is a building block to configure a scal...
Masahiro Murakawa, Shuji Yoshizawa, Isamu Kajitani...
SIGADA
2004
Springer
15 years 10 months ago
Comparative analysis of genetic algorithm implementations
Genetic Algorithms provide computational procedures that are modeled on natural genetic system mechanics, whereby a coded solution is “evolved” from a set of potential solutio...
Robert Soricone, Melvin Neville
GECCO
1999
Springer
133views Optimization» more  GECCO 1999»
15 years 9 months ago
Forecasting the MagnetoEncephaloGram (MEG) of Epileptic Patients Using Genetically Optimized Neural Networks
In this work MagnetoEncephaloGram (MEG) recordings of epileptic patients were analyzed using a hybrid neural networks training algorithm. This algorithm combines genetic algorithm...
Adam V. Adamopoulos, Efstratios F. Georgopoulos, S...