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GECCO
2008
Springer
158views Optimization» more  GECCO 2008»
15 years 5 months ago
Convergence analysis of quantum-inspired genetic algorithms with the population of a single individual
In this paper, the Quantum-inspired Genetic Algorithms with the population of a single individual are formalized by a Markov chain model using a single and the stored best individ...
Mehrshad Khosraviani, Saadat Pour-Mozafari, Mohamm...
JC
2002
63views more  JC 2002»
15 years 3 months ago
On the Complexity of Exclusion Algorithms for Optimization
Exclusion algorithms are a well-known tool in the area of interval analysis for finding all solutions of a system of nonlinear equations or for finding the global minimum of a fun...
Eugene L. Allgower, Melissa Erdmann, Kurt Georg
BMCBI
2008
166views more  BMCBI 2008»
15 years 4 months ago
Biclustering via optimal re-ordering of data matrices in systems biology: rigorous methods and comparative studies
Background: The analysis of large-scale data sets via clustering techniques is utilized in a number of applications. Biclustering in particular has emerged as an important problem...
Peter A. DiMaggio Jr., Scott R. McAllister, Christ...
144
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CGO
2005
IEEE
15 years 9 months ago
A General Compiler Framework for Speculative Optimizations Using Data Speculative Code Motion
Data speculative optimization refers to code transformations that allow load and store instructions to be moved across potentially dependent memory operations. Existing research w...
Xiaoru Dai, Antonia Zhai, Wei-Chung Hsu, Pen-Chung...
CEC
2007
IEEE
15 years 5 months ago
A novel general framework for evolutionary optimization: Adaptive fuzzy fitness granulation
— Computational complexity is a major challenge in evolutionary algorithms due to their need for repeated fitness function evaluations. Here, we aim to reduce number of fitness f...
Mohsen Davarynejad, Mohammad R. Akbarzadeh-Totonch...