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GECCO
2007
Springer
300views Optimization» more  GECCO 2007»
14 years 3 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»
14 years 22 days 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»
13 years 7 months 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»
14 years 1 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
TWC
2010
13 years 3 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