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» Neighborhood structures for genetic local search algorithms
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GCB
2010
Springer
198views Biometrics» more  GCB 2010»
14 years 7 months ago
RNALfoldz: Efficient Prediction of Thermodynamically Stable, Local Secondary Structures
Abstract: The search for local RNA secondary structures and the annotation of unusually stable folding regions in genomic sequences are two well motivated bioinformatic problems. I...
Andreas R. Gruber, Stephan H. F. Bernhart, You Zho...
GECCO
2008
Springer
132views Optimization» more  GECCO 2008»
14 years 11 months ago
Subheuristic search and scalability in a hyperheuristic
Our previous work has introduced a hyperheuristic (HH) approach based on Genetic Programming (GP). There, GP employs usergiven languages where domain-specific local heuristics ar...
Robert E. Keller, Riccardo Poli
CG
2004
Springer
15 years 1 months ago
Locally Informed Global Search for Sums of Combinatorial Games
Abstract. There are two complementary approaches to playing sums of combinatorial games. They can be characterized as local analysis and global search. Algorithms from combinatoria...
Martin Müller 0003, Zhichao Li
ANOR
2007
80views more  ANOR 2007»
14 years 10 months ago
The minimum shift design problem
The min-SHIFT DESIGN problem (MSD) is an important scheduling problem that needs to be solved in many industrial contexts. The issue is to find a minimum number of shifts and the...
Luca Di Gaspero, Johannes Gärtner, Guy Kortsa...
ML
2006
ACM
142views Machine Learning» more  ML 2006»
14 years 9 months ago
The max-min hill-climbing Bayesian network structure learning algorithm
We present a new algorithm for Bayesian network structure learning, called Max-Min Hill-Climbing (MMHC). The algorithm combines ideas from local learning, constraint-based, and sea...
Ioannis Tsamardinos, Laura E. Brown, Constantin F....