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COGSR
2011
71views more  COGSR 2011»
14 years 6 months ago
Psychological models of human and optimal performance in bandit problems
In bandit problems, a decision-maker must choose between a set of alternatives, each of which has a fixed but unknown rate of reward, to maximize their total number of rewards ov...
Michael D. Lee, Shunan Zhang, Miles Munro, Mark St...
PPSN
2004
Springer
15 years 4 months ago
A Simple Two-Module Problem to Exemplify Building-Block Assembly Under Crossover
Theoretically and empirically it is clear that a genetic algorithm with crossover will outperform a genetic algorithm without crossover in some fitness landscapes, and vice versa i...
Richard A. Watson
SAT
2009
Springer
126views Hardware» more  SAT 2009»
15 years 5 months ago
Extending SAT Solvers to Cryptographic Problems
Cryptography ensures the confidentiality and authenticity of information but often relies on unproven assumptions. SAT solvers are a powerful tool to test the hardness of certain ...
Mate Soos, Karsten Nohl, Claude Castelluccia
CP
2005
Springer
15 years 4 months ago
Solving Simple Planning Problems with More Inference and No Search
Many problems used in AI planning including Blocks, Logistics, Gripper, Satellite, and others lack the interactions that characterize puzzles and can be solved nonoptimally in low...
Vincent Vidal, Hector Geffner
GECCO
2009
Springer
144views Optimization» more  GECCO 2009»
15 years 5 months ago
Cheating for problem solving: a genetic algorithm with social interactions
We propose a variation of the standard genetic algorithm that incorporates social interaction between the individuals in the population. Our goal is to understand the evolutionary...
Rafael Lahoz-Beltra, Gabriela Ochoa, Uwe Aickelin