نتایج جستجو برای: shuffled sub
تعداد نتایج: 209257 فیلتر نتایج به سال:
Conserved intervals were introduced as a measure of similarity between genomes whose genes have been shuffled during evolution by genomic rearrangements. In a recent work, we showed how this concept can be integrated to the computation of ancestral gene orders in the context of phylogenetic reconstruction. This report presents the technical details of the related algorithms.
Conservation of gene order in prokaryotes has become important in predicting protein function because, over the evolutionary timescale, genomes are shuffled so that local gene-order conservation reflects the functional constraints within the protein. Here, we compare closely related genomes to identify the rate with which gene order is disrupted and to infer the genes involved in the genome rea...
There are various automatic programming models inspired by evolutionary computation techniques. Due to the importance of devising an automatic mechanism to explore the complicated search space of mathematical problems where numerical methods fails, evolutionary computations are widely studied and applied to solve real world problems. One of the famous algorithm in optimization problem is shuffl...
Knowledge of protein-protein interaction is useful for elucidating protein function via the concept of 'guilt-by-association'. A statistical learning method, Support Vector Machine (SVM), has recently been explored for the prediction of protein-protein interactions using artificial shuffled sequences as hypothetical noninteracting proteins and it has shown promising results (Bock, J. R., Gough,...
کاربرد موفقیت آمیز مدل های بارش – رواناب، به چگونگی واسنجی پارامترهای آنها بستگی دارد. مدل های مفهومی بارش - رواناب، عموماً دارای پارامترهای زیادی هستند که نمی توان آنها را به صورت مستقیم برآورد نمود و لازم است که آنها را در طول واسنجی مدل تخمین زد. هدف از انجام واسنجی، یافتن مقادیر آن سری از پارامترهایی است که باعث بهینه شدن معیارهای ارزیابی کارایی مدل می شوند. دو روش دستی و خودکار برای واسنجی ...
This paper proposes a study of quality of service (QoS) in cognitive radio networks. This study is based on a stochastic optimization method called shuffled frog leaping algorithm (SFLA). The interest of the SFLA algorithm is to guarantee a better solution in a multi-carrier context in order to satisfy the requirements of the secondary user (SU).
this paper presents a new modified shuffled frog leaping algorithm (msfla) applied to design simultaneous coordinated tuning of damping controllers to damp the power system low frequency oscillations. for this, a new frog leaping rule is proposed to improve the local exploration and performance of the original sfla and the genetic mutation operator is employed for new frog generation instead of...
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