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OL
2007
121views more  OL 2007»
13 years 7 months ago
Global optimization by continuous grasp
We introduce a novel global optimization method called Continuous GRASP (C-GRASP) which extends Feo and Resende’s greedy randomized adaptive search procedure (GRASP) from the dom...
Michael J. Hirsch, Cláudio Nogueira de Mene...
JAIR
2008
145views more  JAIR 2008»
13 years 8 months ago
Communication-Based Decomposition Mechanisms for Decentralized MDPs
Multi-agent planning in stochastic environments can be framed formally as a decentralized Markov decision problem. Many real-life distributed problems that arise in manufacturing,...
Claudia V. Goldman, Shlomo Zilberstein
SIGECOM
2004
ACM
96views ECommerce» more  SIGECOM 2004»
14 years 1 months ago
A stochastic programming approach to scheduling in TAC SCM
In this paper, we combine two approaches to handling uncertainty: we use techniques for finding optimal solutions in the expected sense to solve combinatorial optimization proble...
Michael Benisch, Amy R. Greenwald, Victor Narodits...
JCO
2011
63views more  JCO 2011»
12 years 11 months ago
Robust multi-sensor scheduling for multi-site surveillance
This paper presents mathematical programming techniques for solving a class of multi-sensor scheduling problems. Robust optimization problems are formulated for both deterministic ...
Nikita Boyko, Timofey Turko, Vladimir Boginski, Da...
ICNP
1998
IEEE
14 years 12 days ago
A Class of End-to-End Congestion Control Algorithms for the Internet
We formulate end-to-end congestion control as a global optimization problem. Based on this formulation, a class of minimum cost flow control (MCFC) algorithms for adjusting sessio...
S. Jamaloddin Golestani, S. Bhattacharyya