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GECCO
2005
Springer
110views Optimization» more  GECCO 2005»
14 years 7 days ago
Understanding cooperative co-evolutionary dynamics via simple fitness landscapes
Cooperative co-evolution is often used to solve difficult optimization problems by means of problem decomposition. Its performance for such tasks can vary widely from good to disa...
Elena Popovici, Kenneth A. De Jong
CDC
2010
IEEE
148views Control Systems» more  CDC 2010»
13 years 1 months ago
Convergence rates of consensus algorithms in stochastic networks
Abstract-- We study the convergence rate of average consensus algorithms in networks with stochastic communication failures. We show how the system dynamics can be modeled by a dis...
Stacy Patterson, Bassam Bamieh
ICCAD
2003
IEEE
221views Hardware» more  ICCAD 2003»
14 years 3 months ago
Combined Dynamic Voltage Scaling and Adaptive Body Biasing for Heterogeneous Distributed Real-time Embedded Systems
Abstract— Dynamic voltage scaling (DVS) is a powerful technique for reducing dynamic power consumption in a computing system. However, as technology feature size continues to sca...
Le Yan, Jiong Luo, Niraj K. Jha
JIPS
2010
159views more  JIPS 2010»
13 years 1 months ago
A Dynamic Approach to Estimate Change Impact using Type of Change Propagation
Software evolution is an ongoing process carried out with the aim of extending base applications either for adding new functionalities or for adapting software to changing environm...
Chetna Gupta, Yogesh Singh, Durg Singh Chauhan
AUTOMATICA
2008
167views more  AUTOMATICA 2008»
13 years 6 months ago
Stability and robustness analysis of nonlinear systems via contraction metrics and SOS programming
A wide variety of stability and performance questions about linear dynamical systems can be reformulated as convex optimization problems involving linear matrix inequalities (LMIs...
Erin M. Aylward, Pablo A. Parrilo, Jean-Jacques E....