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GECCO
2000
Springer
121views Optimization» more  GECCO 2000»
15 years 10 months ago
Informed operators: Speeding up genetic-algorithm-based design optimization using reduced models
In this paper we describe a method for improving genetic-algorithm-based optimization using informed genetic operators. The idea is to make the genetic operators such as mutation ...
Khaled Rasheed, Haym Hirsh
AIPS
1994
15 years 8 months ago
Design Tradeoffs in Partial Order (Plan space) Planning
Despite the long history of classical planning, there has been very little comparative analysis of the performance tradeoffs offered by the multitude of existing planning algorith...
Subbarao Kambhampati
AUTOMATICA
2005
121views more  AUTOMATICA 2005»
15 years 6 months ago
Robust state observer and control design using command-to-state mapping
In this paper, by introducing the concept of command-to-state/output mapping, it is shown that the state of an uncertain nonlinear system can robustly be estimated if command-to-s...
Zhihua Qu
JORS
2011
67views more  JORS 2011»
15 years 1 months ago
Robust parameter design optimization of simulation experiments using stochastic perturbation methods
Stochastic perturbation methods can be applied to problems for which either the objective function is represented analytically, or the objective function is the result of a simula...
A. K. Miranda, E. Del Castillo
ICIP
2006
IEEE
16 years 8 months ago
Optimum Watermark Design by Vector Space Projections
We introduce an optimum watermark embedding technique that satisfies common watermarking requirements such as visual fidelity, sufficient embedding rate, robustness against noise ...
Oktay Altun, Gaurav Sharma, Mark F. Bocko