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CEC
2010
IEEE
13 years 9 months ago
Adaptive learning particle swarm optimizer-II for global optimization
This paper presents an updated version of the adaptive learning particle swarm optimizer (ALPSO) [6], we call it ALPSO-II. In order to improve the performance of ALPSO on multi-mod...
Changhe Li, Shengxiang Yang
ICCS
2001
Springer
14 years 16 days ago
Parallel High-Dimensional Integration: Quasi-Monte Carlo versus Adaptive Cubature Rules
Abstract Parallel algorithms for the approximation of a multi-dimensional integral over an hyper-rectangular region are discussed. Algorithms based on quasi-Monte Carlo techniques ...
Rudolf Schürer
VTS
1997
IEEE
86views Hardware» more  VTS 1997»
14 years 8 days ago
Methods to reduce test application time for accumulator-based self-test
Accumulators based on addition or subtraction can be used as test pattern generators. Some circuits, however, require long test lengths if the parameters of the accumulator are no...
Albrecht P. Stroele, Frank Mayer
DEXAW
2004
IEEE
95views Database» more  DEXAW 2004»
13 years 11 months ago
Simulation Model for Self-Adaptive Applications in Pervasive Computing
In Autonomic Computing, an application needs to be aware of its environment. While the term "environment" is not normally understood as being a physical environment, in ...
Markus C. Huebscher, Julie A. McCann
RTS
2002
104views more  RTS 2002»
13 years 7 months ago
Adaptive Workload Management through Elastic Scheduling
In real-time computing systems, timing constraints imposed on application tasks are typically guaranteed off line using schedulability tests based on
Giorgio C. Buttazzo, Luca Abeni