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CEC
2007
IEEE
14 years 2 months ago
Improving hypervolume-based multiobjective evolutionary algorithms by using objective reduction methods
— Hypervolume based multiobjective evolutionary algorithms (MOEA) nowadays seem to be the first choice when handling multiobjective optimization problems with many, i.e., at lea...
Dimo Brockhoff, Eckart Zitzler
ICIP
2010
IEEE
13 years 5 months ago
Randomized motion estimation
Motion estimation is known to be a non-convex optimization problem. This non-convexity comes from several ambiguities in motion estimation such as the aperture problem, or fast mo...
Sylvain Boltz, Frank Nielsen
GECCO
2008
Springer
158views Optimization» more  GECCO 2008»
13 years 8 months ago
Objective reduction using a feature selection technique
This paper introduces two new algorithms to reduce the number of objectives in a multiobjective problem by identifying the most conflicting objectives. The proposed algorithms ar...
Antonio López Jaimes, Carlos A. Coello Coel...
WEWORC
2007
132views Cryptology» more  WEWORC 2007»
13 years 9 months ago
Towards a Concrete Security Proof of Courtois, Finiasz and Sendrier Signature Scheme
Abstract. Courtois, Finiasz and Sendrier proposed in 2001 a practical code-based signature scheme. We give a rigorous security analysis of a modified version of this scheme in the...
Léonard Dallot
TIT
2008
83views more  TIT 2008»
13 years 7 months ago
Hard Problems of Algebraic Geometry Codes
The minimum distance is one of the most important combinatorial characterizations of a code. The maximum likelihood decoding problem is one of the most important algorithmic proble...
Qi Cheng