In order to accurately measure the gene expression levels in microarray experiments, it is crucial to design unique, highly specific and highly sensitive oligonucleotide probes for the identification of biological agents such as genes in a sample. Unique probes are difficult to obtain for closely related genes such as the known strains of HIV genes. The non-unique probe selection problem is to ...

The analysis of a bi-dimensional dynamic routing model for alternative routing telecommunication networks led to the identification of an instability problem in the synchronous path selection associated with the complex interdependencies among the coefficients of the objective functions and the computed paths for every node pair. In this paper an analytical model enabling to make explicit this ...

it is shown in [1] that the optimal downlink radio resource allocation for non-realtime traffic in cellular cdma/tdma networks can be mapped to a multi-dimensional multiple-choice knapsack problem (mmkp) which is np-hard. in this correspondence we propose a heuristic algorithm with polynomial time complexity for this problem. numerical results indicate significant computational performance impr...

The essay discusses the theme of exclusive and exclusionary education starting from growth paths princesses who lived at European courts between XV XVII centuries, with purpose posing questions research challenges so far only partially addressed. Also thanks to wealth available sources, female éducation princière turns out be a fertile ground for pedagogical analysis, useful delineate heuristic...

Detection of design pattern methodology is based on match gain between graph vertices. This approach has the combined action power of detection normal, changed version patterns and nearness marking. This approach make use of the fact that patterns reside in one or additional inheritance hierarchies, reducing the dimensions of the graphs to that the algorithm is applied. Finally, the algorithm d...

the cuckoo search algorithm is a recently developedmeta-heuristic optimization algorithm, which is suitable forsolving optimization problems. to enhance the accuracy andconvergence rate of this algorithm, an improved cuckoo searchalgorithm is proposed in this paper. normally, the parametersof the cuckoo search are kept constant. this may lead todecreasing the efficiency of the algorithm. to cop...