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» Preference-Based Problem Solving for Constraint Programming
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TASE
2008
IEEE
13 years 7 months ago
New Hybrid Optimization Algorithms for Machine Scheduling Problems
Dynamic programming, branch-and-bound, and constraint programming are the standard solution principles for nding optimal solutions to machine scheduling problems. We propose a new ...
Yunpeng Pan, Leyuan Shi
GLOBECOM
2008
IEEE
14 years 2 months ago
Outage-Based Rate Maximization in CDMA Wireless Networks
—The problem of maximizing the sum of the transmit rates while limiting the outage probability below an appropriate threshold is investigated for networks where the nodes have li...
M. D'Angelo, Carlo Fischione, Matteo Butussi, Ales...
CRV
2006
IEEE
223views Robotics» more  CRV 2006»
14 years 1 months ago
Disparity Map Estimation Using A Total Variation Bound
This paper describes a new variational method for estimating disparity from stereo images. The stereo matching problem is formulated as a convex programming problem in which an ob...
Wided Miled, Jean-Christophe Pesquet
TR
2008
117views more  TR 2008»
13 years 7 months ago
Redundancy Allocation for Series-Parallel Systems Using Integer Linear Programming
We consider the problem of maximizing the reliability of a series-parallel system given cost and weight constraints on the system. The number of components in each subsystem and th...
Alain Billionnet
SCHEDULING
2008
85views more  SCHEDULING 2008»
13 years 7 months ago
A dynamic programming algorithm for days-off scheduling with sequence dependent labor costs
This paper presents a dynamic programming (DP) algorithm for solving a labor scheduling problem with several realistic days-off scheduling constraints and a cost structure that dep...
Moustafa Elshafei, Hesham K. Alfares