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ICCAD
2007
IEEE
102views Hardware» more  ICCAD 2007»
14 years 2 months ago
Scalable exploration of functional dependency by interpolation and incremental SAT solving
Functional dependency is concerned with rewriting a Boolean function f as a function h over a set of base functions {g1, …, gn}, i.e. f = h(g1, …, gn). It plays an important r...
Chih-Chun Lee, Jie-Hong Roland Jiang, Chung-Yang H...
SODA
2010
ACM
160views Algorithms» more  SODA 2010»
14 years 2 months ago
Solving Simple Stochastic Tail Games
Stochastic games are a natural model for open reactive processes: one player represents the controller and his opponent represents a hostile environment. The evolution of the syste...
Hugo Gimbert, Florian Horn
GECCO
2007
Springer
175views Optimization» more  GECCO 2007»
13 years 11 months ago
An evolutionary multiobjective approach to design highly non-linear Boolean functions
The proliferation of all kinds of devices with different security requirements and constraints, and the arms-race nature of the security problem are increasingly demanding the de...
Hernán E. Aguirre, Hiroyuki Okazaki, Yasush...
DATE
2008
IEEE
142views Hardware» more  DATE 2008»
13 years 7 months ago
Algorithms for Maximum Satisfiability using Unsatisfiable Cores
Many decision and optimization problems in Electronic Design Automation (EDA) can be solved with Boolean Satisfiability (SAT). Moreover, well-known extensions of SAT also find app...
João Marques-Silva, Jordi Planes
GECCO
2009
Springer
199views Optimization» more  GECCO 2009»
13 years 10 months ago
Using behavioral exploration objectives to solve deceptive problems in neuro-evolution
Encouraging exploration, typically by preserving the diversity within the population, is one of the most common method to improve the behavior of evolutionary algorithms with dece...
Jean-Baptiste Mouret, Stéphane Doncieux