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GECCO
2000
Springer
122views Optimization» more  GECCO 2000»
15 years 1 months ago
Genetic Programming with Statically Scoped Local Variables
This paper presents an extension to genetic programming to allow the evolution of programs containing local variables with static scope which obey the invariant that all variables...
Evan Kirshenbaum
CORR
2008
Springer
142views Education» more  CORR 2008»
14 years 10 months ago
On the Capacity and Diversity-Multiplexing Tradeoff of the Two-Way Relay Channel
This paper considers a multiple input multiple output (MIMO) two-way relay channel, where two nodes want to exchange data with each other using multiple relays. An iterative algor...
Rahul Vaze, Robert W. Heath Jr.
GPEM
2008
98views more  GPEM 2008»
14 years 10 months ago
Sporadic model building for efficiency enhancement of the hierarchical BOA
Efficiency enhancement techniques--such as parallelization and hybridization--are among the most important ingredients of practical applications of genetic and evolutionary algori...
Martin Pelikan, Kumara Sastry, David E. Goldberg
ML
2002
ACM
167views Machine Learning» more  ML 2002»
14 years 9 months ago
Linear Programming Boosting via Column Generation
We examine linear program (LP) approaches to boosting and demonstrate their efficient solution using LPBoost, a column generation based simplex method. We formulate the problem as...
Ayhan Demiriz, Kristin P. Bennett, John Shawe-Tayl...
MP
2002
176views more  MP 2002»
14 years 9 months ago
UOBYQA: unconstrained optimization by quadratic approximation
UOBYQA is a new algorithm for general unconstrained optimization calculations, that takes account of the curvature of the objective function, F say, by forming quadratic models by ...
M. J. D. Powell