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» On the Brittleness of Evolutionary Algorithms
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EH
1999
IEEE
141views Hardware» more  EH 1999»
15 years 10 months ago
On-Line Evolution of FPGA-Based Circuits: A Case Study on Hash Functions
An evolutionary algorithm is used to evolve a digital circuit which computes a simple hash function mapping a 16bit address space into an 8-bit one. The target technology is FPGA,...
Ernesto Damiani, Andrea Tettamanzi, Valentino Libe...
ACMSE
2008
ACM
15 years 8 months ago
Training approaches in neural enhancement for multiobjective optimization
In previous work, a neural network was used to increase the number of solutions found by an evolutionary multiobjective optimization algorithm. In this paper, various approaches a...
Aaron Garrett, Gerry V. Dozier
EVOW
2008
Springer
15 years 8 months ago
Analysis of Reconfigurable Logic Blocks for Evolvable Digital Architectures
Abstract. In this paper we propose three small instances of a reconfigurable circuit and analyze their properties using the brute force method and evolutionary algorithm. Although ...
Lukás Sekanina, Petr Mikusek
CEC
2010
IEEE
15 years 7 months ago
AGE-P: Moving from concept to technical realization
Even though evolutionary algorithms have been applied to a vast number of problems, they are still not always applicable. As an example, this paper briefly discusses smart applianc...
Stefan Goldmann, Ralf Salomon
EC
2008
153views ECommerce» more  EC 2008»
15 years 5 months ago
On Complexity of Optimal Recombination for Binary Representations of Solutions
We consider an optimization problem of finding the best possible offspring as a result of a recombination operator in an evolutionary algorithm, given two parent solutions. The op...
Anton V. Eremeev