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GECCO
2004
Springer
244views Optimization» more  GECCO 2004»
14 years 1 months ago
Using Clustering Techniques to Improve the Performance of a Multi-objective Particle Swarm Optimizer
In this paper, we present an extension of the heuristic called “particle swarm optimization” (PSO) that is able to deal with multiobjective optimization problems. Our approach ...
Gregorio Toscano Pulido, Carlos A. Coello Coello
MOC
2010
13 years 2 months ago
Analysis of spectral approximations using prolate spheroidal wave functions
Abstract. In this paper, the approximation properties of the prolate spheroidal wave functions of order zero (PSWFs) are studied, and a set of optimal error estimates are derived f...
Li-lian Wang
SMI
2003
IEEE
223views Image Analysis» more  SMI 2003»
14 years 1 months ago
Skeleton Extraction of 3D Objects with Radial Basis Functions
Skeleton is a lower dimensional shape description of an object. The requirements of a skeleton differ with applications. For example, object recognition requires skeletons with pr...
Wan-Chun Ma, Fu-Che Wu, Ming Ouhyoung
FGR
2006
IEEE
169views Biometrics» more  FGR 2006»
14 years 1 months ago
Combining PCA and LFA for Surface Reconstruction from a Sparse Set of Control Points
This paper presents a novel method for 3D surface reconstruction based on a sparse set of 3D control points. For object classes such as human heads, prior information about the cl...
Reinhard Knothe, Sami Romdhani, Thomas Vetter
EOR
2002
125views more  EOR 2002»
13 years 7 months ago
Genetic local search for multi-objective combinatorial optimization
The paper presents a new genetic local search algorithm for multi-objective combinatorial optimization. The goal of the algorithm is to generate in a short time a set of approxima...
Andrzej Jaszkiewicz