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» Methods for Dynamic Classifier Selection
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GECCO
2008
Springer
165views Optimization» more  GECCO 2008»
13 years 8 months ago
Dual-population genetic algorithm for nonstationary optimization
In order to solve nonstationary optimization problems efficiently, evolutionary algorithms need sufficient diversity to adapt to environmental changes. The dual-population genetic...
Taejin Park, Ri Choe, Kwang Ryel Ryu
HAPTICS
2008
IEEE
13 years 8 months ago
A Study on the Role of Force Feedback for Teleoperation of Industrial Overhead Crane
Abstract. In this paper, a study on the role of force feedback for teleoperation of industrial overhead crane is presented. Teleoperation of industrial crane was described and anal...
Ildar Farkhatdinov, Jee-Hwan Ryu
ANOR
2006
133views more  ANOR 2006»
13 years 7 months ago
Horizon and stages in applications of stochastic programming in finance
To solve a decision problem under uncertainty via stochastic programming means to choose or to build a suitable stochastic programming model taking into account the nature of the r...
Marida Bertocchi, Vittorio Moriggia, Jitka Dupacov...
INFSOF
2006
129views more  INFSOF 2006»
13 years 7 months ago
An interactive service customization model
: Mass customization has become one of the key strategies for a service provider to differentiate itself from its competitors in a highly segmented global service market. This pape...
Jian Cao, Jie Wang, Kincho H. Law, Shen-sheng Zhan...
RAS
2006
138views more  RAS 2006»
13 years 7 months ago
From pixels to multi-robot decision-making: A study in uncertainty
Mobile robots must cope with uncertainty from many sources along the path from interpreting raw sensor inputs to behavior selection to execution of the resulting primitive actions...
Peter Stone, Mohan Sridharan, Daniel Stronger, Gre...