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ICCAD
2007
IEEE
102views Hardware» more  ICCAD 2007»
15 years 8 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»
15 years 9 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»
15 years 5 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»
15 years 1 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»
15 years 4 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