Sciweavers

11 search results - page 2 / 3
» Introducing MONEDA: scalable multiobjective optimization wit...
Sort
View
GECCO
2008
Springer
186views Optimization» more  GECCO 2008»
13 years 7 months ago
A pareto following variation operator for fast-converging multiobjective evolutionary algorithms
One of the major difficulties when applying Multiobjective Evolutionary Algorithms (MOEA) to real world problems is the large number of objective function evaluations. Approximate...
A. K. M. Khaled Ahsan Talukder, Michael Kirley, Ra...
CVPR
2004
IEEE
14 years 8 months ago
An Algorithm for Multiple Object Trajectory Tracking
Most tracking algorithms are based on the maximum a posteriori (MAP) solution of a probabilistic framework called Hidden Markov Model, where the distribution of the object state a...
Mei Han, Wei Xu, Hai Tao, Yihong Gong
GECCO
2007
Springer
192views Optimization» more  GECCO 2007»
14 years 5 days ago
SDR: a better trigger for adaptive variance scaling in normal EDAs
Recently, advances have been made in continuous, normal– distribution–based Estimation–of–Distribution Algorithms (EDAs) by scaling the variance up from the maximum–like...
Peter A. N. Bosman, Jörn Grahl, Franz Rothlau...
CDC
2008
IEEE
130views Control Systems» more  CDC 2008»
14 years 15 days ago
Stochastic multiscale approaches to consensus problems
Abstract— While peer-to-peer consensus algorithms have enviable robustness and locality for distributed estimation and computation problems, they have poor scaling behavior with ...
Jong-Han Kim, Matthew West, Sanjay Lall, Eelco Sch...
CEC
2008
IEEE
14 years 14 days ago
NichingEDA: Utilizing the diversity inside a population of EDAs for continuous optimization
— Since the Estimation of Distribution Algorithms (EDAs) have been introduced, several single model based EDAs and mixture model based EDAs have been developed. Take Gaussian mod...
Weishan Dong, Xin Yao