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» Solving Hierarchical Optimization Problems Using MOEAs
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136
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GECCO
2008
Springer
160views Optimization» more  GECCO 2008»
15 years 1 months ago
Self-managing agents for dynamic scheduling in manufacturing
The main purpose of this paper is to propose a Multi-Agent Autonomic and Bio-Inspired based framework with selfmanaging capabilities to solve complex scheduling problems using coo...
Ana Madureira, Filipe Santos, Ivo Pereira
161
Voted
ICASSP
2011
IEEE
14 years 4 months ago
Automatic target classification in SAR images using MPCA
Multilinear analysis provides a powerful mathematical framework for analyzing synthetic aperture radar (SAR) images resulting from the interaction of multiple factors like sky lum...
Tristan Porges, Gérard Favier
114
Voted
IEEECIT
2009
IEEE
15 years 7 months ago
Clustering of Software Systems Using New Hybrid Algorithms
—Software clustering is a method for increasing software system understanding and maintenance. Software designers, first use MDG graph to model the structure of software system. ...
Ali Safari Mamaghani, Mohammad Reza Meybodi
ICML
2004
IEEE
16 years 1 months ago
A fast iterative algorithm for fisher discriminant using heterogeneous kernels
We propose a fast iterative classification algorithm for Kernel Fisher Discriminant (KFD) using heterogeneous kernel models. In contrast with the standard KFD that requires the us...
Glenn Fung, Murat Dundar, Jinbo Bi, R. Bharat Rao
65
Voted
ICTAI
2006
IEEE
15 years 6 months ago
Efficient Search Using Bitboard Models
This paper shows a way to speed up search by using an encoding at bit level to model a particular domain. A bitboard is an unsigned integer whose bits have been given an interpret...
Pablo San Segundo, Ramón Galán, Fern...