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EUSFLAT
2009
156views Fuzzy Logic» more  EUSFLAT 2009»
15 years 4 months ago
Interactive Fuzzy Modeling by Evolutionary Multiobjective Optimization with User Preference
One of the new trends in genetic fuzzy systems (GFS) is the use of evolutionary multiobjective optimization (EMO) algorithms. This is because EMO algorithms can easily handle two c...
Yusuke Nojima, Hisao Ishibuchi
SCIA
2009
Springer
305views Image Analysis» more  SCIA 2009»
16 years 23 days ago
A Convex Approach to Low Rank Matrix Approximation with Missing Data
Many computer vision problems can be formulated as low rank bilinear minimization problems. One reason for the success of these problems is that they can be efficiently solved usin...
Carl Olsson, Magnus Oskarsson
GECCO
2007
Springer
155views Optimization» more  GECCO 2007»
16 years 12 days ago
COSMO: a correlation sensitive mutation operator for multi-objective optimization
This contribution is the first to discover exploitable structural features within circuit optimization problems (COP) and discuss how it is indicative of a general structure and ...
Varun Aggarwal, Una-May O'Reilly
GECCO
2007
Springer
176views Optimization» more  GECCO 2007»
16 years 12 days ago
Two-level of nondominated solutions approach to multiobjective particle swarm optimization
In multiobjective particle swarm optimization (MOPSO) methods, selecting the local best and the global best for each particle of the population has a great impact on the convergen...
M. A. Abido
GECCO
2005
Springer
116views Optimization» more  GECCO 2005»
15 years 11 months ago
Terrain generation using genetic algorithms
We propose a method for applying genetic algorithms to create 3D terrain data sets. Existing procedural algorithms for generation of terrain have several shortcomings. The most po...
TeongJoo Ong, Ryan Saunders, John Keyser, John J. ...