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» Solving Hierarchical Optimization Problems Using MOEAs
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CORR
2010
Springer
89views Education» more  CORR 2010»
14 years 10 months ago
A Microwave Imaging and Enhancement Technique from Noisy Synthetic Data
: An inverse iterative algorithm for microwave imaging based on moment method solution is presented here. The iterative scheme has been developed on constrained optimization techni...
Anjan Kumar Kundu, Bijoy Bandyopadhyay, Sugata San...
106
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INFOCOM
2011
IEEE
14 years 4 months ago
A nearly-optimal index rule for scheduling of users with abandonment
—We analyze a comprehensive model for multi-class job scheduling accounting for user abandonment, with the objective of minimizing the total discounted or time-average sum of lin...
Urtzi Ayesta, Peter Jacko, Vladimir Novak
116
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ICMLA
2010
14 years 10 months ago
Ensembles of Neural Networks for Robust Reinforcement Learning
Reinforcement learning algorithms that employ neural networks as function approximators have proven to be powerful tools for solving optimal control problems. However, their traini...
Alexander Hans, Steffen Udluft
114
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PLDI
2003
ACM
15 years 5 months ago
Points-to analysis using BDDs
This paper reports on a new approach to solving a subset-based points-to analysis for Java using Binary Decision Diagrams (BDDs). In the model checking community, BDDs have been s...
Marc Berndl, Ondrej Lhoták, Feng Qian, Laur...
98
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GECCO
2007
Springer
212views Optimization» more  GECCO 2007»
15 years 6 months ago
A developmental model of neural computation using cartesian genetic programming
The brain has long been seen as a powerful analogy from which novel computational techniques could be devised. However, most artificial neural network approaches have ignored the...
Gul Muhammad Khan, Julian F. Miller, David M. Hall...