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CP
2006
Springer
13 years 11 months ago
Performance Prediction and Automated Tuning of Randomized and Parametric Algorithms
Abstract. Machine learning can be utilized to build models that predict the runtime of search algorithms for hard combinatorial problems. Such empirical hardness models have previo...
Frank Hutter, Youssef Hamadi, Holger H. Hoos, Kevi...
CEC
2008
IEEE
13 years 10 months ago
Directed trees: A powerful representation for sorting and ordering problems
We present a simple framework for dealing with search spaces consisting of permutations. To demonstrate its usefulness, we build upon it a simple (1 + 1)-evolutionary algorithm fo...
Benjamin Doerr, Edda Happ
JAR
2000
90views more  JAR 2000»
13 years 7 months ago
Resolution versus Search: Two Strategies for SAT
The paper compares two popular strategies for solving propositional satis ability, backtracking search and resolution, and analyzes the complexity of a directional resolution algo...
Irina Rish, Rina Dechter
IPPS
1999
IEEE
14 years 6 days ago
A Parallel Genetic Algorithm for Task Mapping on Parallel Machines
In parallel processing systems, a fundamental consideration is the maximization of system performance through task mapping. A good allocation strategy may improve resource utilizat...
S. Mounir Alaoui, Ophir Frieder, Tarek A. El-Ghaza...
ASC
2006
13 years 9 months ago
Simulation-based optimisation using local search and neural network metamodels
This paper presents a new algorithm for enhancing the efficiency of simulation-based optimisation using local search and neural network metamodels. The local search strategy is ba...
Anna Persson, Henrik Grimm, Amos Ng