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SLS
2007
Springer
103views Algorithms» more  SLS 2007»
14 years 1 months ago
Designing and Tuning SLS Through Animation and Graphics: An Extended Walk-Through
Stochastic Local Search (SLS) is quite effective for a variety of Combinatorial (Optimization) Problems (COP). However, the performance of SLS depends on several factors and getti...
Steven Halim, Roland H. C. Yap
INFOCOM
2006
IEEE
14 years 1 months ago
Landmark-Based Information Storage and Retrieval in Sensor Networks
— For a wide variety of sensor network environments, location information is unavailable or expensive to obtain. We propose a location-free, lightweight, distributed, and data-ce...
Qing Fang, Jie Gao, Leonidas J. Guibas
UIST
2006
ACM
14 years 1 months ago
Viz: a visual analysis suite for explaining local search behavior
NP-hard combinatorial optimization problems are common in real life. Due to their intractability, local search algorithms are often used to solve such problems. Since these algori...
Steven Halim, Roland H. C. Yap, Hoong Chuin Lau
FOCS
2005
IEEE
14 years 29 days ago
Mechanism Design via Machine Learning
We use techniques from sample-complexity in machine learning to reduce problems of incentive-compatible mechanism design to standard algorithmic questions, for a wide variety of r...
Maria-Florina Balcan, Avrim Blum, Jason D. Hartlin...
FOCS
2005
IEEE
14 years 29 days ago
Sampling-based Approximation Algorithms for Multi-stage Stochastic
Stochastic optimization problems provide a means to model uncertainty in the input data where the uncertainty is modeled by a probability distribution over the possible realizatio...
Chaitanya Swamy, David B. Shmoys