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GECCO
2008
Springer
132views Optimization» more  GECCO 2008»
15 years 4 months ago
Hybridizing an evolutionary algorithm with mathematical programming techniques for multi-objective optimization
In recent years, the development of multi-objective evolutionary algorithms (MOEAs) hybridized with mathematical programming techniques has significantly increased. However, most...
Saúl Zapotecas Martínez, Carlos A. C...
137
Voted
GECCO
2008
Springer
238views Optimization» more  GECCO 2008»
15 years 4 months ago
Using multiple offspring sampling to guide genetic algorithms to solve permutation problems
The correct choice of an evolutionary algorithm, a genetic representation for the problem being solved (as well as their associated variation operators) and the appropriate values...
Antonio LaTorre, José Manuel Peña, V...
176
Voted

Publication
323views
15 years 4 months ago
Reconstruction of snow and ice surfaces using multiple view  vision techniques
In this paper we describe a vision system for reconstructing the relative structure of snow and ice surfaces. This effort is one step toward the long-term goal of rendering absol...
GOWRI SOMANATH , ROHITH MV , CATHLEEN A. GEIGER ...
135
Voted
GECCO
2008
Springer
143views Optimization» more  GECCO 2008»
15 years 4 months ago
Application domain study of evolutionary algorithms in optimization problems
This paper deals with the problem of comparing and testing evolutionary algorithms, that is, the benchmarking problem, from an analysis point of view. A practical study of the app...
Pilar Caamaño, Francisco Bellas, José...
164
Voted
GECCO
2008
Springer
239views Optimization» more  GECCO 2008»
15 years 4 months ago
Multiobjective design of operators that detect points of interest in images
In this paper, a multiobjective (MO) learning approach to image feature extraction is described, where Pareto-optimal interest point (IP) detectors are synthesized using genetic p...
Leonardo Trujillo, Gustavo Olague, Evelyne Lutton,...
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