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AUTOMATICA
2010
90views more  AUTOMATICA 2010»
13 years 7 months ago
A line search improvement of efficient MPC
A recent lifting technique led to a computationally efficient Model Predictive Control (MPC) strategy in which the online optimization is performed using a univariate Newton-Raphs...
Basil Kouvaritakis, Shuang Li, Mark Cannon
GECCO
2007
Springer
156views Optimization» more  GECCO 2007»
14 years 1 months ago
Hierarchical genetic programming based on test input subsets
Crucial to the more widespread use of evolutionary computation techniques is the ability to scale up to handle complex problems. In the field of genetic programming, a number of d...
David Jackson
SYNASC
2005
IEEE
110views Algorithms» more  SYNASC 2005»
14 years 29 days ago
Performance Tuning of Evolutionary Algorithms Using Particle Sub Swarms
Particle Swarm Optimization (PSO) technique proved its ability to deal with very complicated optimization and search problems. This paper proposes a new particle swarm variant whi...
Crina Grosan, Ajith Abraham, Monica Nicoara
TIP
1998
129views more  TIP 1998»
13 years 7 months ago
Minimax partial distortion competitive learning for optimal codebook design
— The design of the optimal codebook for a given codebook size and input source is a challenging puzzle that remains to be solved. The key problem in optimal codebook design is h...
Ce Zhu, Lai-Man Po
ICML
2010
IEEE
13 years 8 months ago
Simple and Efficient Multiple Kernel Learning by Group Lasso
We consider the problem of how to improve the efficiency of Multiple Kernel Learning (MKL). In literature, MKL is often solved by an alternating approach: (1) the minimization of ...
Zenglin Xu, Rong Jin, Haiqin Yang, Irwin King, Mic...