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» Strategies for Solving SAT in Grids by Randomized Search
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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...
GECCO
2006
Springer
138views Optimization» more  GECCO 2006»
13 years 11 months ago
Does overfitting affect performance in estimation of distribution algorithms
Estimation of Distribution Algorithms (EDAs) are a class of evolutionary algorithms that use machine learning techniques to solve optimization problems. Machine learning is used t...
Hao Wu, Jonathan L. Shapiro
ECAL
1995
Springer
13 years 11 months ago
Contemporary Evolution Strategies
After an outline of the history of evolutionary algorithms, a new ( ) variant of the evolution strategies is introduced formally. Though not comprising all degrees of freedom, it i...
Hans-Paul Schwefel, Günter Rudolph
ALGORITHMICA
2002
84views more  ALGORITHMICA 2002»
13 years 7 months ago
Exploring Unknown Environments with Obstacles
We study exploration problems where a robot has to construct a complete map of an unknown environment using a path that is as short as possible. In the rst problem setting we cons...
Susanne Albers, Klaus Kursawe, Sven Schuierer
CIKM
2009
Springer
14 years 2 months ago
A social recommendation framework based on multi-scale continuous conditional random fields
This paper addresses the issue of social recommendation based on collaborative filtering (CF) algorithms. Social recommendation emphasizes utilizing various attributes informatio...
Xin Xin, Irwin King, Hongbo Deng, Michael R. Lyu