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134
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AUTOMATICA
2005
152views more  AUTOMATICA 2005»
15 years 2 months ago
Identification of dynamical systems with a robust interval fuzzy model
In this paper we present a new method of interval fuzzy model identification. The method combines a fuzzy identification methodology with some ideas from linear programming theory...
Igor Skrjanc, Saso Blazic, Osvaldo E. Agamennoni
219
Voted
TIT
2008
122views more  TIT 2008»
15 years 2 months ago
An Efficient Pseudocodeword Search Algorithm for Linear Programming Decoding of LDPC Codes
Abstract--In linear programming (LP) decoding of a low-density parity-check (LDPC) code one minimizes a linear functional, with coefficients related to log-likelihood ratios, over ...
Michael Chertkov, Mikhail G. Stepanov
TR
2008
78views more  TR 2008»
15 years 2 months ago
MOMS-GA: A Multi-Objective Multi-State Genetic Algorithm for System Reliability Optimization Design Problems
A custom genetic algorithm was developed and implemented to solve multiple objective multi-state reliability optimization design problems. Many real-world engineering design proble...
Heidi A. Taboada, Jose F. Espiritu, David W. Coit
JMIV
2007
156views more  JMIV 2007»
15 years 2 months ago
Using the Shape Gradient for Active Contour Segmentation: from the Continuous to the Discrete Formulation
A variational approach to image or video segmentation consists in defining an energy depending on local or global image characteristics, the minimum of which being reached for ob...
Eric Debreuve, Muriel Gastaud, Michel Barlaud, Gil...
160
Voted
GECCO
2010
Springer
127views Optimization» more  GECCO 2010»
15 years 1 months ago
Set-based multi-objective optimization, indicators, and deteriorative cycles
Evolutionary multi-objective optimization deals with the task of computing a minimal set of search points according to a given set of objective functions. The task has been made e...
Rudolf Berghammer, Tobias Friedrich, Frank Neumann