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ICPR
2010
IEEE
15 years 8 months ago
Continuous Markov Random Field Optimization using Fusion Move Driven Markov Chain Monte Carlo Technique
Many vision applications have been formulated as Markov Random Field (MRF) problems. Although many of them are discrete labeling problems, continuous formulation often achieves gre...
Wonsik Kim (Seoul National University), Kyoung Mu ...
113
Voted
WSC
2007
15 years 4 months ago
Stochastic trust region gradient-free method (strong): a new response-surface-based algorithm in simulation optimization
Response Surface Methodology (RSM) is a metamodelbased optimization method. Its strategy is to explore small subregions of the parameter space in succession instead of attempting ...
Kuo-Hao Chang, L. Jeff Hong, Hong Wan
CERA
2002
201views more  CERA 2002»
15 years 1 months ago
CAD-Based Shape Optimization Using a Meshfree Method
: A shape design sensitivity analysis and optimization procedure is proposed using a meshfree method. A CAD tool connection is established to facilitate the seamless integration of...
Iulian Grindeanu, Nam Ho Kim, Kung K. Choi, Jiun-S...
127
Voted
ICC
2007
IEEE
125views Communications» more  ICC 2007»
15 years 8 months ago
Network-Wide Resource Optimization of Wireless OFDMA Mesh Networks with Multiple Radios
— We consider the problem of joint end-to-end rate optimization and radio resource management in wireless OFDMA-based mesh networks. Radio units equipped with multiple radio inte...
Pablo Soldati, Mikael Johansson
GECCO
2009
Springer
113views Optimization» more  GECCO 2009»
15 years 6 months ago
Variable size population for dynamic optimization with genetic programming
A new model of Genetic Programming with variable size population is presented in this paper and applied to the reconstruction of target functions in dynamic environments (i.e. pro...
Leonardo Vanneschi, Giuseppe Cuccu