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CEC
2009
IEEE
14 years 3 months ago
A clustering particle swarm optimizer for dynamic optimization
Abstract—In the real world, many applications are nonstationary optimization problems. This requires that optimization algorithms need to not only find the global optimal soluti...
Changhe Li, Shengxiang Yang
CVPR
2005
IEEE
14 years 10 months ago
WaldBoost - Learning for Time Constrained Sequential Detection
: In many computer vision classification problems, both the error and time characterizes the quality of a decision. We show that such problems can be formalized in the framework of...
Jan Sochman, Jiri Matas
CEC
2008
IEEE
14 years 2 months ago
Examination of multi-objective optimization method for global search using DIRECT and GA
— A number of multi-objective genetic algorithms (MOGAs) have been developed to obtain Pareto optimal solutions for multi-objective optimization problems. However, as these metho...
Luyi Wang, Hiroyuki Ishida, Tomoyuki Hiroyasu, Mit...
TRANSCI
2008
80views more  TRANSCI 2008»
13 years 8 months ago
An Efficient Method to Compute Traffic Assignment Problems with Elastic Demands
The traffic assignment problem with elastic demands can be formulated as an optimization problem, whose objective is sum of a congestion function and a disutility function. We pro...
Frédéric Babonneau, Jean-Philippe Vi...
ASIAMS
2007
IEEE
14 years 2 months ago
Modified Line Search Method for Global Optimization
This paper introduces a modified version of the well known global optimization technique named line search method. The modifications refer to the way in which the direction and th...
Crina Grosan, Ajith Abraham