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EAAI
2007
154views more  EAAI 2007»
15 years 5 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
ICICIC
2006
IEEE
15 years 12 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
16 years 8 days 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
15 years 4 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»
15 years 5 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