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122
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DATE
2009
IEEE
89views Hardware» more  DATE 2009»
15 years 10 months ago
Exploiting clock skew scheduling for FPGA
- Clock skew scheduling (CSS) is an effective technique to optimize clock period of sequential designs. However, these techniques are not effective in the presence of certain desig...
Sungmin Bae, Prasanth Mangalagiri, Narayanan Vijay...
153
Voted
JCO
2011
63views more  JCO 2011»
14 years 6 months ago
Robust multi-sensor scheduling for multi-site surveillance
This paper presents mathematical programming techniques for solving a class of multi-sensor scheduling problems. Robust optimization problems are formulated for both deterministic ...
Nikita Boyko, Timofey Turko, Vladimir Boginski, Da...
122
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EMO
2003
Springer
93views Optimization» more  EMO 2003»
15 years 9 months ago
Intensity Modulated Beam Radiation Therapy Dose Optimization with Multiobjective Evolutionary Algorithms
We apply the NSGA-II algorithm and its controlled elitist version NSGA-IIc for the intensity modulated beam radiotherapy dose optimization problem. We compare the performance of th...
Michael Lahanas, Eduard Schreibmann, Natasa Milick...
141
Voted
GECCO
2007
Springer
209views Optimization» more  GECCO 2007»
15 years 9 months ago
An online implementable differential evolution tuned optimal guidance law
This paper proposes a novel application of differential evolution to solve a difficult dynamic optimisation or optimal control problem. The miss distance in a missile-target engag...
Raghunathan Thangavelu, S. Pradeep
125
Voted
TNN
2008
95views more  TNN 2008»
15 years 3 months ago
A Constrained Optimization Approach to Preserving Prior Knowledge During Incremental Training
In this paper, a supervised neural network training technique based on constrained optimization is developed for preserving prior knowledge of an input
Silvia Ferrari, Mark Jensenius