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» Approximation Algorithms for Clustering Problems
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STOC
2002
ACM
149views Algorithms» more  STOC 2002»
16 years 7 months ago
The complexity of choosing an H-colouring (nearly) uniformly at random
Cooper, Dyer and Frieze studied the problem of sampling H-colourings (nearly) uniformly at random. Special cases of this problem include sampling colourings and independent sets a...
Leslie Ann Goldberg, Steven Kelk, Mike Paterson
CPAIOR
2006
Springer
15 years 10 months ago
Online Stochastic Reservation Systems
This paper considers online stochastic reservation problems, where requests come online and must be dynamically allocated to limited resources in order to maximize profit. Multi-k...
Pascal Van Hentenryck, Russell Bent, Yannis Vergad...
GECCO
2006
Springer
170views Optimization» more  GECCO 2006»
15 years 10 months ago
Combining simplex with niche-based evolutionary computation for job-shop scheduling
We propose a hybrid algorithm (called ALPINE) between Genetic Algorithm and Dantzig's Simplex method to approximate optimal solutions for the Flexible Job-Shop Problem. Local...
Syhlin Kuah, Joc Cing Tay
ICTAI
1997
IEEE
15 years 10 months ago
GA-Based Performance Analysis of Network Protocols
This paper tackles the problem of analyzing the correctness and performance of a computer network protocol. Given the complexity of the problem, no currently used technique is abl...
Mario Baldi, Fulvio Corno, Maurizio Rebaudengo, Gi...
INFORMATICALT
2011
170views more  INFORMATICALT 2011»
15 years 1 months ago
Community Detection Through Optimal Density Contrast of Adjacency Matrix
Detecting communities in real world networks is an important problem for data analysis in science and engineering. By clustering nodes intelligently, a recursive algorithm is desig...
Tianzhu Liang, Kwok Yip Szeto