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» Solving Hierarchical Optimization Problems Using MOEAs
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EVOW
2003
Springer
15 years 11 months ago
GAME-HDL: Implementation of Evolutionary Algorithms Using Hardware Description Languages
Evolutionary Algorithms (EAs) have been proposed as a very powerful heuristic optimization technique to solve complex problems. Many case studies have shown that they work very eff...
Rolf Drechsler, Nicole Drechsler
SIAMCO
2011
15 years 1 months ago
Optimal Robust Stabilization and Dissipativity Synthesis by Behavioral Interconnection
Given a nominal plant, together with a fixed neighborhood of this plant, the problem of robust stabilization is to find a controller that stabilizes all plants in that neighborh...
Harry L. Trentelman, Shaik Fiaz, Kiyotsugu Takaba
DASFAA
2008
IEEE
115views Database» more  DASFAA 2008»
16 years 1 months ago
An Optimized Two-Step Solution for Updating XML Views
View updating is a long standing difficult problem. Given a view defined over base data sources and a view update, there are several different updates over the base data sources,...
Ling Wang, Ming Jiang 0003, Elke A. Rundensteiner,...
NIPS
1997
15 years 8 months ago
Reinforcement Learning with Hierarchies of Machines
We present a new approach to reinforcement learning in which the policies considered by the learning process are constrained by hierarchies of partially specified machines. This ...
Ronald Parr, Stuart J. Russell
ATMOS
2007
177views Optimization» more  ATMOS 2007»
15 years 8 months ago
Approximate dynamic programming for rail operations
Abstract. Approximate dynamic programming offers a new modeling and algorithmic strategy for complex problems such as rail operations. Problems in rail operations are often modeled...
Warren B. Powell, Belgacem Bouzaïene-Ayari