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» Approximating Travel Times Using Opportunistic Networking
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102
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AAAI
2000
14 years 11 months ago
Depth-First Branch-and-Bound versus Local Search: A Case Study
Depth-first branch-and-bound (DFBnB) is a complete algorithm that is typically used to find optimal solutions of difficult combinatorial optimization problems. It can also be adap...
Weixiong Zhang
EOR
2010
87views more  EOR 2010»
14 years 9 months ago
On the system optimum of traffic assignment in M/G/c/c state-dependent queueing networks
-- The classical Wardrop System Optimum (SO) assignment model assumes that the users will cooperate with each other in order to minimize the overall travel costs. The importance of...
Frederico R. B. Cruz, Tom Van Woensel, James MacGr...
IMC
2010
ACM
14 years 7 months ago
Measurement and analysis of real-world 802.11 mesh networks
Despite many years of work in wireless mesh networks built using 802.11 radios, the performance and behavior of these networks in the wild is not well-understood. This lack of und...
Katrina LaCurts, Hari Balakrishnan
72
Voted
ICANN
2005
Springer
15 years 3 months ago
Mutual Information and k-Nearest Neighbors Approximator for Time Series Prediction
This paper presents a method that combines Mutual Information and k-Nearest Neighbors approximator for time series prediction. Mutual Information is used for input selection. K-Nea...
Antti Sorjamaa, Jin Hao, Amaury Lendasse
SASO
2007
IEEE
15 years 3 months ago
On Scaling Multi-Agent Task Reallocation Using Market-Based Approach
Multi-agent systems (MAS) provide a promising technology for addressing problems such as search and rescue missions, mine sweeping, and surveillance. These problems are a form of ...
Rajesh K. Karmani, Timo Latvala, Gul Agha