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EAAI
2007
154views more  EAAI 2007»
14 years 9 months ago
An agent-based approach to solve dynamic meeting scheduling problems with preferences
Multi-agent systems are widely used to address large-scale distributed combinatorial applications in the real world. One such application is meeting scheduling (MS), which is deļ¬...
Ahlem Ben Hassine, Tu Bao Ho
145
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ICICIC
2006
IEEE
15 years 3 months ago
Timetable Scheduling Using Particle Swarm Optimization
In timetable scheduling problems, examination subjects must be slotted to certain times that satisfy several of constraints. They are NP-completeness problems, which usually lead ...
Shu-Chuan Chu, Yi-Tin Chen, Jiun-Huei Ho
GLOBECOM
2008
IEEE
15 years 4 months ago
Aerial Platform Placement Algorithm to Satisfy Connectivity and Capacity Constraints in Wireless Ad-Hoc Networks
—In this paper, we address the problem of establishing full connectivity and satisfying required traffic capacity between disconnected clusters in large wireless ad-hoc ground n...
Senni Perumal, John S. Baras
MFCS
2010
Springer
14 years 8 months ago
Solving minones-2-sat as Fast as vertex cover
The problem of finding a satisfying assignment for a 2-SAT formula that minimizes the number of variables that are set to 1 (min ones 2–sat) is NP-complete. It generalizes the w...
Neeldhara Misra, N. S. Narayanaswamy, Venkatesh Ra...
MOC
2000
105views more  MOC 2000»
14 years 9 months ago
On the iteratively regularized Gauss-Newton method for solving nonlinear ill-posed problems
The iteratively regularized Gauss-Newton method is applied to compute the stable solutions to nonlinear ill-posed problems F (x) = y when the data y is given approximately by y wit...
Jin Qi-nian