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CP
2004
Springer
15 years 4 months ago
A Hybrid Method for Planning and Scheduling
We combine mixed integer linear programming (MILP) and constraint programming (CP) to solve planning and scheduling problems. Tasks are allocated to facilities using MILP and sche...
John N. Hooker
ATAL
2010
Springer
14 years 11 months ago
Local search for distributed asymmetric optimization
Distributed Constraints Optimization (DCOP) is a powerful framework for representing and solving distributed combinatorial problems, where the variables of the problem are owned b...
Alon Grubshtein, Roie Zivan, Tal Grinshpoun, Amnon...
CDC
2009
IEEE
189views Control Systems» more  CDC 2009»
15 years 3 months ago
Maximizing aggregated revenue in sensor networks under deadline constraints
Abstract— We study the problem of maximizing the aggregated revenue in sensor networks with deadline constraints. Our model is that of a sensor network that is arranged in the fo...
Srikanth Hariharan, Ness B. Shroff
ICC
2007
IEEE
145views Communications» more  ICC 2007»
15 years 5 months ago
Distributed Optimization for Utility-Energy Tradeoff in Wireless Sensor Networks
Abstract— Wireless sensor networks (WSNs) are energyconstrained in nature, in this paper, we formulate the problem of data transport in sensor networks as a network utility maxim...
Shengbin Liao, Wenqing Cheng, Wei Liu, Zongkai Yan...
ACML
2009
Springer
15 years 3 months ago
Max-margin Multiple-Instance Learning via Semidefinite Programming
In this paper, we present a novel semidefinite programming approach for multiple-instance learning. We first formulate the multipleinstance learning as a combinatorial maximum marg...
Yuhong Guo