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GECCO
2007
Springer
300views Optimization» more  GECCO 2007»
15 years 8 months ago
A NSGA-II, web-enabled, parallel optimization framework for NLP and MINLP
Engineering design increasingly uses computer simulation models coupled with optimization algorithms to find the best design that meets the customer constraints within a time con...
David J. Powell, Joel K. Hollingsworth
GECCO
2006
Springer
177views Optimization» more  GECCO 2006»
15 years 6 months ago
Hyper-ellipsoidal conditions in XCS: rotation, linear approximation, and solution structure
The learning classifier system XCS is an iterative rulelearning system that evolves rule structures based on gradient-based prediction and rule quality estimates. Besides classifi...
Martin V. Butz, Pier Luca Lanzi, Stewart W. Wilson
SIAMSC
2010
198views more  SIAMSC 2010»
15 years 23 days ago
Analysis of Block Parareal Preconditioners for Parabolic Optimal Control Problems
In this paper, we describe block matrix algorithms for the iterative solution of large scale linear-quadratic optimal control problems arising from the optimal control of parabolic...
Tarek P. Mathew, Marcus Sarkis, Christian E. Schae...
CDC
2009
IEEE
119views Control Systems» more  CDC 2009»
15 years 7 months ago
Optimal controlled trajectories for a mathematical model of anti-angiogenic therapy in cancer
Abstract— Anti-angiogenic therapy is a novel treatment approach in cancer therapy that aims at preventing a tumor from developing a network of blood vessels and capillaries that ...
Urszula Ledzewicz, Heinz Schättler
146
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TWC
2010
14 years 9 months ago
Optimal Linear Non-Regenerative Multi-Hop MIMO Relays with MMSE-DFE Receiver at the Destination
In this paper, we study multi-hop non-regenerative multiple-input multiple-output (MIMO) relay communications with any number of hops. We design the optimal source precoding matrix...
Yue Rong