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AAAI
2007
13 years 10 months ago
Using Expectation Maximization to Find Likely Assignments for Solving CSP's
We present a new probabilistic framework for finding likely variable assignments in difficult constraint satisfaction problems. Finding such assignments is key to efficient sea...
Eric I. Hsu, Matthew Kitching, Fahiem Bacchus, She...
BMCBI
2010
116views more  BMCBI 2010»
13 years 7 months ago
A hybrid approach to protein folding problem integrating constraint programming with local search
Background: The protein folding problem remains one of the most challenging open problems in computational biology. Simplified models in terms of lattice structure and energy func...
Abu Zafer M. Dayem Ullah, Kathleen Steinhöfel
HM
2007
Springer
180views Optimization» more  HM 2007»
13 years 11 months ago
Empirical Analysis of Two Different Metaheuristics for Real-World Vehicle Routing Problems
We present two hybrid Metaheuristics, a hybrid Iterated Local Search and a hybrid Simulated Annealing, for solving real-world extensions of the Vehicle Routing Problem with Time Wi...
Tonci Caric, Juraj Fosin, Ante Galic, Hrvoje Gold,...
SLS
2009
Springer
224views Algorithms» more  SLS 2009»
14 years 2 months ago
High-Performance Local Search for Solving Real-Life Inventory Routing Problems
Abstract. In this paper, a real-life routing and scheduling problem encountered is addressed. The problem, which consists in optimizing the delivery of fluids by tank trucks on a ...
Thierry Benoist, Bertrand Estellon, Fréd&ea...
CEC
2010
IEEE
13 years 8 months ago
Iterated local search vs. hyper-heuristics: Towards general-purpose search algorithms
An important challenge within hyper-heuristic research is to design search methodologies that work well, not only across different instances of the same problem, but also across di...
Edmund K. Burke, Timothy Curtois, Matthew R. Hyde,...