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GECCO
2007
Springer
300views Optimization» more  GECCO 2007»
14 years 1 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
IPPS
2000
IEEE
14 years 23 hour ago
Ordering Unstructured Meshes for Sparse Matrix Computations on Leading Parallel Systems
Abstract. Computer simulations of realistic applications usually require solving a set of non-linear partial di erential equations PDEs over a nite region. The process of obtaini...
Leonid Oliker, Xiaoye S. Li, Gerd Heber, Rupak Bis...
COR
2007
134views more  COR 2007»
13 years 7 months ago
Portfolio selection using neural networks
In this paper we apply a heuristic method based on artificial neural networks (NN) in order to trace out the efficient frontier associated to the portfolio selection problem. We...
Alberto Fernández, Sergio Gómez
ICC
2009
IEEE
210views Communications» more  ICC 2009»
14 years 2 months ago
Weighted Sum-Rate Maximization Using Weighted MMSE for MIMO-BC Beamforming Design
—This paper studies linear transmit filter design for Weighted Sum-Rate (WSR) maximization in the Multiple Input Multiple Output Broadcast Channel (MIMO-BC). The problem of fin...
Søren Skovgaard Christensen, Rajiv Agarwal,...
JAIR
2002
163views more  JAIR 2002»
13 years 7 months ago
Efficient Reinforcement Learning Using Recursive Least-Squares Methods
The recursive least-squares (RLS) algorithm is one of the most well-known algorithms used in adaptive filtering, system identification and adaptive control. Its popularity is main...
Xin Xu, Hangen He, Dewen Hu