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AEI
2005
99views more  AEI 2005»
15 years 6 months ago
Comparison among five evolutionary-based optimization algorithms
Evolutionary algorithms (EAs) are stochastic search methods that mimic the natural biological evolution and/or the social behavior of species. Such algorithms have been developed ...
Emad Elbeltagi, Tarek Hegazy, Donald E. Grierson
APPML
2005
68views more  APPML 2005»
15 years 6 months ago
A note on edge fault tolerance with respect to hypercubes
In the previous studies on k-edge fault tolerance with respect to hypercubes Qn, matrices for generating linear k-EFT(Qn) graphs were used. Let EFTL(n, k) denote the set of matric...
Tung-Yang Ho, Ting-Yi Sung, Lih-Hsing Hsu
TCS
2008
15 years 6 months ago
The Magnus-Derek game
We introduce a new combinatorial game between two players: Magnus and Derek. Initially, a token is placed at position 0 on a round table with n positions. In each round of the gam...
Zhivko Prodanov Nedev, S. Muthukrishnan
TCS
2008
15 years 6 months ago
Computational self-assembly
The object of this paper is to appreciate the computational limits inherent in the combinatorics of an applied concurrent (aka agent-based) language . That language is primarily m...
Pierre-Louis Curien, Vincent Danos, Jean Krivine, ...
TEC
2008
146views more  TEC 2008»
15 years 6 months ago
An Evolutionary Algorithm Approach to Optimal Ensemble Classifiers for DNA Microarray Data Analysis
In general, the analysis of microarray data requires two steps: feature selection and classification. From a variety of feature selection methods and classifiers, it is difficult t...
Kyung-Joong Kim, Sung-Bae Cho