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ICML
2003
IEEE
14 years 3 months ago
Evolutionary MCMC Sampling and Optimization in Discrete Spaces
The links between genetic algorithms and population-based Markov Chain Monte Carlo (MCMC) methods are explored. Genetic algorithms (GAs) are well-known for their capability to opt...
Malcolm J. A. Strens
GECCO
2003
Springer
124views Optimization» more  GECCO 2003»
14 years 3 months ago
ERA: An Algorithm for Reducing the Epistasis of SAT Problems
A novel method, for solving satisfiability (SAT) instances is presented. It is based on two components: a) An Epistasis Reducer Algorithm (ERA) that produces a more suited represe...
Eduardo Rodriguez-Tello, Jose Torres-Jimenez
DAC
1996
ACM
14 years 2 months ago
Power Estimation of Cell-Based CMOS Circuits
PPP is a Web-based simulation and synthesis environment for low-power design. In this paper we describe the gate-level simulation engine of PPP, that achieves accuracy always with...
Alessandro Bogliolo, Luca Benini, Bruno Ricc&ograv...
DAC
2008
ACM
14 years 11 months ago
Predictive design space exploration using genetically programmed response surfaces
Exponential increases in architectural design complexity threaten to make traditional processor design optimization techniques intractable. Genetically programmed response surface...
Henry Cook, Kevin Skadron
IAT
2006
IEEE
14 years 4 months ago
Evaluating Different Genetic Operators in the Testing for Unwanted Emergent Behavior Using Evolutionary Learning of Behavior
We present an experimental comparison of different genetic operators regarding their use in an evolutionary learning method that searches for unwanted emergent behavior in a multi...
Jörg Denzinger, Jordan Kidney