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Effective scheduling is of great importance in parallel programming environments. The problem of tasks graph scheduling in a multi processor system can be stated as allocating tasks to processor of each computer. Scheduling problem is known as NP-Hard. Thereof, usage of evolutionary processing and especially genetic algorithms are effective for solving scheduling problems. The objective of this problem...
In this paper, a novel scheduling algorithm has been presented that is more efficient and has more reliability comparing similar algorithms. DSQGG is a novel algorithm that by defining new parameters and metrics, has decreased the delay and also response time of job. Also it satisfies the satisfaction level of servers. Several simulation results show that by using this new algorithm, a better makespan...
We present a method for detecting horizontal gene transfer (HGT) using partial orders (posets). The method requires a poset for each species/gene pair, where we have a set of species S, and a set of genes G. Given the posets, the method constructs a phylogenetic tree that is compatible with the set of posets; this is done for each gene. Also, the set of posets can be derived from the tree. The trees...
Microarray and Next-Gen Sequencing technologies have generated a huge amount of genome scale expression data. Many software tools permit extraction of expression profiles/data for a given gene or a set of genes. It has been established that genes with similar expression profiles are likely to be associated functionally. Unfortunately, there has been no simple online application for mining expression...
Gene Selection is very important problem in the classification of serious diseases in clinical information systems. A limitation of these gene selection methods is that they may result in gene sets with some redundancy and yield an unnecessary large number of candidate genes for classification analysis. In the current work, a hybrid approach is presented in order to classify diseases, such as colon...
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