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» Local Search Algorithms for SAT: An Empirical Evaluation
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GECCO
2006
Springer
164views Optimization» more  GECCO 2006»
15 years 3 months ago
Adaptation for parallel memetic algorithm based on population entropy
In this paper, we propose the island model parallel memetic algorithm with diversity-based dynamic adaptive strategy (PMADLS) for controlling the local search frequency and demons...
Jing Tang, Meng-Hiot Lim, Yew-Soon Ong
SIGIR
2008
ACM
14 years 11 months ago
Optimizing relevance and revenue in ad search: a query substitution approach
The primary business model behind Web search is based on textual advertising, where contextually relevant ads are displayed alongside search results. We address the problem of sel...
Filip Radlinski, Andrei Z. Broder, Peter Ciccolo, ...
AI
2011
Springer
14 years 6 months ago
SampleSearch: Importance sampling in presence of determinism
The paper focuses on developing effective importance sampling algorithms for mixed probabilistic and deterministic graphical models. The use of importance sampling in such graphi...
Vibhav Gogate, Rina Dechter
AIPS
2008
15 years 2 months ago
Multi-Objective Evolutionary Algorithms for Scheduling the James Webb Space Telescope
Effective scheduling of the James Webb Space Telescope (JWST) requires managing the trade-off between multiple scheduling criteria including minimizing unscheduled time, angular m...
Mark E. Giuliano, Mark D. Johnston
FLAIRS
2003
15 years 1 months ago
Incremental Breakout Algorithm with Variable Ordering
This paper presents the Incremental Breakout Algorithm with Variable Ordering (IncBA). This algorithm belongs to the class of local search algorithms for solving Constraint Satisf...
Carlos Eisenberg, Boi Faltings