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» Evolutionary Design Calibration
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TEC
2002
108views more  TEC 2002»
13 years 7 months ago
Analysis and modeling of control tasks in dynamic systems
Most applications of evolutionary algorithms (EAs) deal with static optimization problems. However, in recent years, there has been a growing interest in timevarying (dynamic) prob...
Rasmus K. Ursem, Thiemo Krink, Mikkel T. Jensen, Z...
DAC
2005
ACM
14 years 8 months ago
Advanced Timing Analysis Based on Post-OPC Extraction of Critical Dimensions
While performance specifications are verified before sign-off for a modern nanometer scale design, extensive application of optical proximity correction substantially alters the l...
Puneet Gupta, Andrew B. Kahng, Youngmin Kim, Denni...
GECCO
2009
Springer
128views Optimization» more  GECCO 2009»
14 years 2 months ago
Neural network ensembles for time series forecasting
This work provides an analysis of using the evolutionary algorithm EPNet to create ensembles of artificial neural networks to solve a range of forecasting tasks. Several previous...
Victor M. Landassuri-Moreno, John A. Bullinaria
GECCO
2007
Springer
235views Optimization» more  GECCO 2007»
14 years 1 months ago
Expensive optimization, uncertain environment: an EA-based solution
Real life optimization problems often require finding optimal solution to complex high dimensional, multimodal problems involving computationally very expensive fitness function e...
Maumita Bhattacharya
PLDI
2004
ACM
14 years 1 months ago
Fast searches for effective optimization phase sequences
It has long been known that a fixed ordering of optimization phases will not produce the best code for every application. One approach for addressing this phase ordering problem ...
Prasad Kulkarni, Stephen Hines, Jason Hiser, David...