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» Optimization with Extremal Dynamics
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WSC
2008
14 years 4 days ago
Approximate dynamic programming: Lessons from the field
Approximate dynamic programming is emerging as a powerful tool for certain classes of multistage stochastic, dynamic problems that arise in operations research. It has been applie...
Warren B. Powell
GECCO
2003
Springer
117views Optimization» more  GECCO 2003»
14 years 3 months ago
Improving Evolvability of Genetic Parallel Programming Using Dynamic Sample Weighting
Abstract. This paper investigates the sample weighting effect on Genetic Parallel Programming (GPP) that evolves parallel programs to solve the training samples captured directly f...
Sin Man Cheang, Kin-Hong Lee, Kwong-Sak Leung
AHS
2007
IEEE
241views Hardware» more  AHS 2007»
14 years 4 months ago
Extreme Temperature Electronics - from Materials to Bio-inspired Adaptation
Biological systems have inherent mechanisms which ensure their adaptation and thus survival — preservation of functionality, despite extreme and varying environments. One such e...
Dragana Laketic, Pauline C. Haddow
ICRA
2010
IEEE
123views Robotics» more  ICRA 2010»
13 years 8 months ago
A probabilistic approach to mixed open-loop and closed-loop control, with application to extreme autonomous driving
— We consider the task of accurately controlling a complex system, such as autonomously sliding a car sideways into a parking spot. Although certain regions of this domain are ex...
J. Zico Kolter, Christian Plagemann, David T. Jack...
GLOBECOM
2008
IEEE
14 years 4 months ago
Optimized Opportunistic Multicast Scheduling over Cellular Networks
—The design of optimal opportunistic multicast scheduling (OMS) that maximizes the throughput of cellular networks is investigated. In a cellular network, the base station (BS) t...
Tze-Ping Low, Man-On Pun, C. C. Jay Kuo