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» The Complexity of Partition Functions
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ITC
2000
IEEE
84views Hardware» more  ITC 2000»
15 years 10 months ago
Non-intrusive BIST for systems-on-a-chip
1 The term "functional BIST" describes a test method to control functional modules so that they generate a deterministic test set, which targets structural faults within ...
Silvia Chiusano, Paolo Prinetto, Hans-Joachim Wund...
GECCO
2010
Springer
174views Optimization» more  GECCO 2010»
15 years 10 months ago
Real-coded genetic algorithm benchmarked on noiseless black-box optimization testbed
Genetic algorithms—a class of stochastic population-based optimization techniques—have been widely realized as the effective tools to solve complicated optimization problems ...
Thanh-Do Tran, Gang-Gyoo Jin
CDC
2009
IEEE
144views Control Systems» more  CDC 2009»
15 years 10 months ago
Stochastic control over finite capacity channels: Causality, feedback and uncertainty
Abstract-- Optimal communication/control analysis and design of dynamical controlled systems, when there are finite capacity communication constraints often involve information and...
Charalambos D. Charalambous, Christos K. Kourtella...
FLAIRS
2008
15 years 9 months ago
Using Genetic Programming to Increase Rule Quality
Rule extraction is a technique aimed at transforming highly accurate opaque models like neural networks into comprehensible models without losing accuracy. G-REX is a rule extract...
Rikard König, Ulf Johansson, Lars Niklasson
CEC
2007
IEEE
15 years 8 months ago
A novel general framework for evolutionary optimization: Adaptive fuzzy fitness granulation
— Computational complexity is a major challenge in evolutionary algorithms due to their need for repeated fitness function evaluations. Here, we aim to reduce number of fitness f...
Mohsen Davarynejad, Mohammad R. Akbarzadeh-Totonch...