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COMSWARE
2006
IEEE
13 years 11 months ago
Architecting protocol stack optimizations on mobile devices
Applications using traditional protocol stacks (e.g TCP/IP) from wired networks do not function efficiently in mobile wireless scenarios. This is primarily due to the layered archi...
Vijay T. Raisinghani, Sridhar Iyer
ICNP
2007
IEEE
14 years 2 months ago
Adaptive Optimization of Rate Adaptation Algorithms in Multi-Rate WLANs
— Rate adaptation is one of the basic functionalities in today’s 802.11 wireless LANs (WLANs). Although it is primarily designed to cope with the variability of wireless channe...
Jaehyuk Choi, Jongkeun Na, Kihong Park, Chong-kwon...
ATAL
2005
Springer
14 years 1 months ago
Improving reinforcement learning function approximators via neuroevolution
Reinforcement learning problems are commonly tackled with temporal difference methods, which use dynamic programming and statistical sampling to estimate the long-term value of ta...
Shimon Whiteson
CHI
2006
ACM
14 years 8 months ago
Beyond record and play: backpacks: tangible modulators for kinetic behavior
Digital Manipulatives embed computation in familiar children's toys and provide means for children to design behavior. Some systems use "record and play" as a form ...
Hayes Raffle, Amanda J. Parkes, Hiroshi Ishii, Jos...
GECCO
2008
Springer
186views Optimization» more  GECCO 2008»
13 years 8 months ago
A pareto following variation operator for fast-converging multiobjective evolutionary algorithms
One of the major difficulties when applying Multiobjective Evolutionary Algorithms (MOEA) to real world problems is the large number of objective function evaluations. Approximate...
A. K. M. Khaled Ahsan Talukder, Michael Kirley, Ra...