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GECCO
2005
Springer
110views Optimization» more  GECCO 2005»
15 years 9 months ago
A genetic algorithm encoding for a class of cardinality constraints
A genetic algorithm encoding is proposed which is able to automatically satisfy a class of important cardinality constraints where the set of distinct values of the design variabl...
Helio J. C. Barbosa, Afonso C. C. Lemonge
WSC
2004
15 years 5 months ago
A New Method to Determine the Tool Count of a Semiconductor Factory Using FabSim
Tool count optimization is mandatory for an efficiently organized semiconductor factory. This paper describes an efficient heuristic to determine the tool count using the compact ...
Holger Vogt
TSP
2010
14 years 10 months ago
Methods for sparse signal recovery using Kalman filtering with embedded pseudo-measurement norms and quasi-norms
We present two simple methods for recovering sparse signals from a series of noisy observations. The theory of compressed sensing (CS) requires solving a convex constrained minimiz...
Avishy Carmi, Pini Gurfil, Dimitri Kanevsky
MP
2006
103views more  MP 2006»
15 years 4 months ago
Assessing solution quality in stochastic programs
Determining if a solution is optimal or near optimal is fundamental in optimization theory, algorithms, and computation. For instance, Karush-Kuhn-Tucker conditions provide necessa...
Güzin Bayraksan, David P. Morton
GECCO
2007
Springer
180views Optimization» more  GECCO 2007»
15 years 10 months ago
Exploiting multiple robots to accelerate self-modeling
In previous work [8] a computational framework was demonstrated that allows a mobile robot to autonomously evolve models its own body for the purposes of adaptive behavior generat...
Josh C. Bongard