منابع مشابه
EMINIM: An Adaptive and Memory-Efficient Algorithm for Genotype Imputation
Genome-wide association studies have proven to be a highly successful method for identification of genetic loci for complex phenotypes in both humans and model organisms. These large scale studies rely on the collection of hundreds of thousands of single nucleotide polymorphisms (SNPs) across the genome. Standard high-throughput genotyping technologies capture only a fraction of the total genet...
متن کاملAn Adaptive and Memory Efficient Algorithm for Genotype Imputation
Genome-wide association studies have proven to be a highly successful method for identification of genetic loci for complex phenotypes in both humans and model organisms. These large scale studies rely on the collection of hundreds of thousands of single nucleotide polymorphisms (SNPs) across the genome. Standard high-throughput genotyping technologies capture only a fraction of the total genet...
متن کاملAn adaptive memory algorithm for the k-coloring problem
Let G = (V,E) be a graph with vertex set V and edge set E. The k-colouring problem is to assign a colour (a number chosen in {1, . . . , k}) to each vertex of G so that no edge has both endpoints with the same colour. The adaptive memory algorithm is a hybrid evolutionary heuristic that uses a central memory. At each iteration, the information contained in the central memory is used for produci...
متن کاملAn Adaptive Replacement Algorithm for Paged-Memory Computer Systems
A general class of adaptive replacement schemes for use in paged memories is developed. One such algorithm, called SIM, is simulated using a probability model that generates memory traces, and the results of the simulation of this adaptive scheme are compared with those obtained using the best nonlookahead algorithms. A technique for implementing this type of adaptive replacement algorithm with...
متن کاملAn Adaptive Cauchy Differential Evolution Algorithm for Global Numerical Optimization
Adaptation of control parameters, such as scaling factor (F), crossover rate (CR), and population size (NP), appropriately is one of the major problems of Differential Evolution (DE) literature. Well-designed adaptive or self-adaptive parameter control method can highly improve the performance of DE. Although there are many suggestions for adapting the control parameters, it is still a challeng...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Information Technology Journal
سال: 2013
ISSN: 1812-5638
DOI: 10.3923/itj.2013.1035.1039