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» Resource-Constrained Geometric Network Optimization
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PODC
2003
ACM
14 years 1 months ago
Geometric ad-hoc routing: of theory and practice
All too often a seemingly insurmountable divide between theory and practice can be witnessed. In this paper we try to contribute to narrowing this gap in the field of ad-hoc rout...
Fabian Kuhn, Roger Wattenhofer, Yan Zhang, Aaron Z...
GECCO
2011
Springer
270views Optimization» more  GECCO 2011»
13 years 1 days ago
Geometric surrogate-based optimisation for permutation-based problems
In continuous optimisation, surrogate models (SMs) are used when tackling real-world problems whose candidate solutions are expensive to evaluate. In previous work, we showed that...
Alberto Moraglio, Yong-Hyuk Kim, Yourim Yoon
CORR
2006
Springer
105views Education» more  CORR 2006»
13 years 8 months ago
Threshold-Controlled Global Cascading in Wireless Sensor Networks
Abstract-- We investigate cascade dynamics in thresholdcontrolled (multiplex) propagation on random geometric networks. We find that such local dynamics can serve as an efficient, ...
Qiming Lu, Gyorgy Korniss, Boleslaw K. Szymanski
AHSWN
2006
148views more  AHSWN 2006»
13 years 8 months ago
Geometric Chemotaxis: A Biologically-Inspired Framework for a Class of Wireless Coverage Problems
Abstract-- We present a new, biologically-inspired algorithm for the problem of covering a given region with wireless "units" (sensors or base-stations). The general prob...
Hidayet Ozgur Sanli, Rahul Simha, Bhagirath Naraha...
GECCO
2009
Springer
14 years 1 months ago
The sensitivity of HyperNEAT to different geometric representations of a problem
HyperNEAT, a generative encoding for evolving artificial neural networks (ANNs), has the unique and powerful ability to exploit the geometry of a problem (e.g., symmetries) by enc...
Jeff Clune, Charles Ofria, Robert T. Pennock