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WCNC
2008
IEEE
15 years 8 months ago
Genetic Algorithm Aided Design of Near-Capacity Irregular Variable Length Codes
— In this paper we demonstrate that our ability to match the EXtrinsic Information Transfer (EXIT) function of an Irregular Variable Length Code (IrVLC) to that of a seriallyconc...
Robert G. Maunder, Lajos Hanzo
ICDM
2007
IEEE
132views Data Mining» more  ICDM 2007»
15 years 8 months ago
Learning What Makes a Society Tick
We present a machine learning methodology (models, algorithms, and experimental data) to discovering the agent dynamics that drive the evolution of the social groups in a communit...
Hung-Ching Chen, Mark K. Goldberg, Malik Magdon-Is...
GECCO
2005
Springer
152views Optimization» more  GECCO 2005»
15 years 7 months ago
GAMM: genetic algorithms with meta-models for vision
Recent adaptive image interpretation systems can reach optimal performance for a given domain via machine learning, without human intervention. The policies are learned over an ex...
Greg Lee, Vadim Bulitko
GECCO
2009
Springer
133views Optimization» more  GECCO 2009»
15 years 6 months ago
Evolutionary codings and operators for the terminal assignment problem
Given a collection of terminals, each with a demand, a collection of concentrators, each with a capacity, and costs of connecting the terminals to the concentrators, the terminal ...
Bryant A. Julstrom
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