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» Evolutionary algorithms and dynamic programming
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116
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GECCO
2007
Springer
178views Optimization» more  GECCO 2007»
15 years 8 months ago
Coevolution of intelligent agents using cartesian genetic programming
A coevolutionary competitive learning environment for two antagonistic agents is presented. The agents are controlled by a new kind of computational network based on a compartment...
Gul Muhammad Khan, Julian Francis Miller, David M....
GECCO
2010
Springer
230views Optimization» more  GECCO 2010»
15 years 7 months ago
Exponential natural evolution strategies
The family of natural evolution strategies (NES) offers a principled approach to real-valued evolutionary optimization by following the natural gradient of the expected fitness....
Tobias Glasmachers, Tom Schaul, Yi Sun, Daan Wiers...
115
Voted
PLDI
2009
ACM
15 years 9 months ago
Binary analysis for measurement and attribution of program performance
Modern programs frequently employ sophisticated modular designs. As a result, performance problems cannot be identified from costs attributed to routines in isolation; understand...
Nathan R. Tallent, John M. Mellor-Crummey, Michael...
107
Voted
DAC
2005
ACM
16 years 3 months ago
IODINE: a tool to automatically infer dynamic invariants for hardware designs
We describe IODINE, a tool to automatically extract likely design properties using dynamic analysis. A practical bottleneck in the formal verification of hardware designs is the n...
Sudheendra Hangal, Naveen Chandra, Sridhar Narayan...
142
Voted
ICCD
2006
IEEE
171views Hardware» more  ICCD 2006»
15 years 11 months ago
Stochastic Dynamic Thermal Management: A Markovian Decision-based Approach
This paper proposes a stochastic dynamic thermal management (DTM) technique in high-performance VLSI system with especial attention to the uncertainty in temperature observation. ...
Hwisung Jung, Massoud Pedram