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» Exploring a Two-Population Genetic Algorithm
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ISDA
2008
IEEE
14 years 1 months ago
Genetic Annealing Optimization: Design and Real World Applications
Both simulated annealing (SA) and the genetic algorithms (GA) are stochastic and derivative-free optimization technique. SA operates on one solution at a time, while the GA mainta...
Mostafa A. El-Hosseini, Aboul Ella Hassanien, Ajit...
PPSN
2004
Springer
14 years 25 days ago
Evolving Genetic Regulatory Networks for Hardware Fault Tolerance
We present a new approach that is able to produce an increased fault tolerance in bio-inspired electronic circuits. To this end, we designed hardwarefriendly genetic regulatory net...
Arne Koopman, Daniel Roggen
CEC
2009
IEEE
14 years 2 months ago
Representation and structural biases in CGP
— An evolutionary algorithm automatically discovers suitable solutions to a problem, which may lie anywhere in a large search space of candidate solutions. In the case of Genetic...
Andrew J. Payne, Susan Stepney
ICAI
2004
13 years 8 months ago
Action Inhibition
An explicit exploration strategy is necessary in reinforcement learning (RL) to balance the need to reduce the uncertainty associated with the expected outcome of an action and the...
Myriam Abramson
DAC
1999
ACM
13 years 11 months ago
Behavioral Synthesis of Analog Systems Using Two-layered Design Space Exploration
This paper presents a novel approach for synthesis of analog systems from behavioral VHDL-AMS specifications. We implemented this approach in the VASE behavioral-synthesis tool. ...
Alex Doboli, Adrián Núñez-Ald...