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GECCO
2010
Springer
158views Optimization» more  GECCO 2010»
15 years 10 months ago
Efficiently evolving programs through the search for novelty
A significant challenge in genetic programming is premature convergence to local optima, which often prevents evolution from solving problems. This paper introduces to genetic pro...
Joel Lehman, Kenneth O. Stanley
NIPS
1998
15 years 8 months ago
Finite-Sample Convergence Rates for Q-Learning and Indirect Algorithms
In this paper, we address two issues of long-standing interest in the reinforcement learning literature. First, what kinds of performance guarantees can be made for Q-learning aft...
Michael J. Kearns, Satinder P. Singh
WCE
2007
15 years 8 months ago
A Distributed Energy Efficient Query Processing in Self-Organized Wireless Sensor Networks
—Spatial query execution is an essential functionality of a sensor network. Redundancy within a sensor network can be exploited to reduce the communication cost incurred in execu...
Meer A. Hamza, Sherin M. Youssef, Salma F. Fayed
EMSOFT
2008
Springer
15 years 7 months ago
On the interplay of dynamic voltage scaling and dynamic power management in real-time embedded applications
Dynamic Voltage Scaling (DVS) and Dynamic Power Management (DPM) are two popular techniques commonly employed to save energy in real-time embedded systems. DVS policies aim at red...
Vinay Devadas, Hakan Aydin
GECCO
2008
Springer
155views Optimization» more  GECCO 2008»
15 years 7 months ago
A no-free-lunch framework for coevolution
The No-Free-Lunch theorem is a fundamental result in the field of black-box function optimization. Recent work has shown that coevolution can exhibit free lunches. The question a...
Travis C. Service, Daniel R. Tauritz
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