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CSL
2008
Springer
15 years 6 months ago
An Optimal Strategy Improvement Algorithm for Solving Parity and Payoff Games
This paper presents a novel strategy improvement algorithm for parity and payoff games, which is guaranteed to select, in each improvement step, an optimal combination of local str...
Sven Schewe
GECCO
2009
Springer
161views Optimization» more  GECCO 2009»
15 years 11 months ago
Are evolutionary rule learning algorithms appropriate for malware detection?
In this paper, we evaluate the performance of ten well-known evolutionary and non-evolutionary rule learning algorithms. The comparative study is performed on a real-world classi...
M. Zubair Shafiq, S. Momina Tabish, Muddassar Faro...
ICDCS
2008
IEEE
15 years 11 months ago
Fair K Mutual Exclusion Algorithm for Peer to Peer Systems
k-mutual exclusion is an important problem for resourceintensive peer-to-peer applications ranging from aggregation to file downloads. In order to be practically useful, k-mutual...
Vijay Anand Reddy, Prateek Mittal, Indranil Gupta
COMSWARE
2006
IEEE
15 years 11 months ago
Design keys to adapt web prefetching algorithms to environment conditions
— This paper focuses on the design process of web prefetching algorithms. The main goal of prefetching techniques in web is to reduce user perceived latency. Since these techniqu...
Josep Domènech, Julio Sahuquillo, Ana Pont,...
CEC
2005
IEEE
15 years 10 months ago
Constraint quadratic approximation operator for treating equality constraints with genetic algorithms
Abstract- This paper presents a new operator for genetic algorithms that enhances their convergence in the case of nonlinear problems with nonlinear equality constraints. The propo...
Elizabeth F. Wanner, Frederico G. Guimarães...