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» Randomizing Reductions of Search Problems
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ICTAI
1999
IEEE
13 years 12 months ago
On the Fine Structure of Large Search Spaces
Recently there has been significant progress in our understanding of the computational nature of combinatorial problems. Randomized search methods, both complete and incomplete, o...
Carla P. Gomes, Bart Selman
EVOW
2007
Springer
14 years 1 months ago
A Probabilistic Beam Search Approach to the Shortest Common Supersequence Problem
The Shortest Common Supersequence Problem (SCSP) is a well-known hard combinatorial optimization problem that formalizes many real world problems. This paper presents a novel rando...
Christian Blum, Carlos Cotta, Antonio J. Fern&aacu...
EUSFLAT
2001
13 years 9 months ago
Reduction to independent variables: from normal distribution to general statistical case to fuzzy
In many practical problems, we must combine ("fuse") data represented in different formats, e.g., statistical, fuzzy, etc. The simpler the data, the easier to combine th...
Mourad Oussalah, Hung T. Nguyen, Vladik Kreinovich
EVOW
2008
Springer
13 years 9 months ago
Improved Construction Heuristics and Iterated Local Search for the Routing and Wavelength Assignment Problem
This paper deals with the design of improved construction heuristics and iterated local search for the Routing and Wavelength Assignment problem (RWA). Given a physical network and...
Kerstin Bauer, Thomas Fischer, Sven Oliver Krumke,...
AI
2001
Springer
14 years 6 days ago
How AI Can Help SE; or: Randomized Search Not Considered Harmful
In fast-paced software projects, engineers don’t have the time or the resources to build heavyweight complete descriptions of their software. The best they can do is lightweight ...
Tim Menzies, Harshinder Singh