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» Optimization with Extremal Dynamics
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CEC
2008
IEEE
16 years 22 days ago
A multi-agent based evolutionary algorithm in non-stationary environments
— In this paper, a multi-agent based evolutionary algorithm (MAEA) is introduced to solve dynamic optimization problems. The agents simulate living organism features and co-evolv...
Yang Yan, Hongfeng Wang, Dingwei Wang, Shengxiang ...
VTC
2007
IEEE
130views Communications» more  VTC 2007»
16 years 15 days ago
Automated Up- and Downlink Capacity Balancing in WCDMA Networks
— Dynamic optimization of UMTS systems has been gaining a growing interest by the research community. In this context, the current paper concentrates on dynamic automated tuning ...
Mario García-Lozano, Oriol Sallent, Jordi P...
COMPSAC
2004
IEEE
15 years 10 months ago
Adaptive Time-Critical Resource Management Using Time/Utility Functions: Past, Present, and Future
Time/utility function time constraints (or TUFs) and utility accrual (UA) scheduling optimality criteria, constitute, arguably, the most effective and broadest approach for adapti...
Peng Li, Binoy Ravindran, E. Douglas Jensen
INTEGRATION
2008
96views more  INTEGRATION 2008»
15 years 6 months ago
Implementation of a thermal management unit for canceling temperature-dependent clock skew variations
Thermal gradients across the die are becoming increasingly prominent as we scale further down into the sub-nanometer regime. While temperature was never a primary concern, its non...
Ashutosh Chakraborty, Karthik Duraisami, Ashoka Vi...
BMCBI
2011
14 years 9 months ago
PeakRanger: A cloud-enabled peak caller for ChIP-seq data
Background: Chromatin immunoprecipitation (ChIP), coupled with massively parallel short-read sequencing (seq) is used to probe chromatin dynamics. Although there are many algorith...
Xin Feng, Robert Grossman, Lincoln Stein