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ICDCS
2010
IEEE
14 years 25 days ago
Stochastic Steepest-Descent Optimization of Multiple-Objective Mobile Sensor Coverage
—We propose a steepest descent method to compute optimal control parameters for balancing between multiple performance objectives in stateless stochastic scheduling, wherein the ...
Chris Y. T. Ma, David K. Y. Yau, Nung Kwan Yip, Na...
IPPS
2007
IEEE
14 years 3 months ago
Determining the Minimum Energy Consumption using Dynamic Voltage and Frequency Scaling
While improving raw performance is of primary interest to most users of high-performance computers, energy consumption also is a critical concern. Some microprocessors allow volta...
Min Yeol Lim, Vincent W. Freeh
IROS
2006
IEEE
104views Robotics» more  IROS 2006»
14 years 2 months ago
Landmark Selection for Task-Oriented Navigation
—Many vision-based navigation systems are restricted to the use of only a limited number of landmarks when computing the camera pose. This limitation is due to the overhead of de...
Ronen Lerner, Ehud Rivlin, Ilan Shimshoni
SIGADA
2004
Springer
14 years 2 months ago
Comparative analysis of genetic algorithm implementations
Genetic Algorithms provide computational procedures that are modeled on natural genetic system mechanics, whereby a coded solution is “evolved” from a set of potential solutio...
Robert Soricone, Melvin Neville
ECAI
2010
Springer
13 years 10 months ago
EP for Efficient Stochastic Control with Obstacles
Abstract. We address the problem of continuous stochastic optimal control in the presence of hard obstacles. Due to the non-smooth character of the obstacles, the traditional appro...
Thomas Mensink, Jakob J. Verbeek, Bert Kappen