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ICDCS
2010
IEEE
15 years 6 months ago
Stochastic Steepest-Descent Optimization of Multiple-Objective Mobile Sensor Coverage
—We propose a steepest descent method to compute optimal control parameters for balancing between multiple performance objectives in stateless stochastic scheduling, wherein the ...
Chris Y. T. Ma, David K. Y. Yau, Nung Kwan Yip, Na...
99
Voted
GECCO
2007
Springer
178views Optimization» more  GECCO 2007»
15 years 8 months ago
Analyzing heuristic performance with response surface models: prediction, optimization and robustness
This research uses a Design of Experiments (DOE) approach to build a predictive model of the performance of a combinatorial optimization heuristic over a range of heuristic tuning...
Enda Ridge, Daniel Kudenko
CEC
2005
IEEE
15 years 8 months ago
Complementary selection and variation for an efficient multiobjective optimization of complex systems
Real-world applications generally distinguish themselves from theoretical developments in that they are much more complex and varied. As a consequence, better models require more d...
Benoît Bagot, Hartmut Pohlheim
TIP
1998
157views more  TIP 1998»
15 years 2 months ago
Reproducing kernel Hilbert space method for optimal interpolation of potential field data
—An error in the theoretical derivations leading up to the main equation of the above correspondence by Prost et al. is pointed out, and corrections are presented. Due to the err...
Jonathan S. Maltz, Robert De Mello Koch, Andrew Wi...
137
Voted
INFORMATICALT
2010
107views more  INFORMATICALT 2010»
15 years 1 months ago
Optimization of Formant Feature Based Speech Recognition
The paper deals with the use of formant features in dynamic time warping based speech recognition. These features can be simply visualized and give a new insight into understanding...
Antanas Lipeika