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GECCO
2005
Springer
157views Optimization» more  GECCO 2005»
16 years 4 days ago
Simple addition of ranking method for constrained optimization in evolutionary algorithms
During the optimization of a constrained problem using evolutionary algorithms (EAs), an individual in the population can be described using three important properties, i.e., obje...
Pei Yee Ho, Kazuyuki Shimizu
SAT
2005
Springer
142views Hardware» more  SAT 2005»
16 years 3 days ago
Optimizations for Compiling Declarative Models into Boolean Formulas
Advances in SAT solver technology have enabled many automated analysis and reasoning tools to reduce their input problem to a SAT problem, and then to use an efficient SAT solver ...
Darko Marinov, Sarfraz Khurshid, Suhabe Bugrara, L...
ICCS
2004
Springer
16 years 3 hour ago
Chunking-Coordinated-Synthetic Approaches to Large-Scale Kernel Machines
We consider a kernel-based approach to nonlinear classification that coordinates the generation of “synthetic” points (to be used in the kernel) with “chunking” (working wi...
Francisco J. González-Castaño, Rober...
ICCD
1995
IEEE
100views Hardware» more  ICCD 1995»
15 years 10 months ago
Transformation of min-max optimization to least-square estimation and application to interconnect design optimization
This paper describes a novel approach to nd a tighter bound of the transformation of the Min-Max problems into the one of Least-Square Estimation. It is well known that the above ...
Jimmy Shinn-Hwa Wang, Wayne Wei-Ming Dai
CJ
2008
97views more  CJ 2008»
15 years 6 months ago
Three Kinds of Probabilistic Induction: Universal Distributions and Convergence Theorems
We will describe three kinds of probabilistic induction problems, and give general solutions for each , with associated convergence theorems that show they tend to give good proba...
Ray J. Solomonoff