Predict the translation initiation sites in DNA sequences [23]. M. (2002), "A novelapproach to local reliability of sequence alignments", Bioinformatics, 18(6):847Swati JainIjcem Org
In the second stage, a soft-computing based model is proposed to split the overlapped cells by determining the cells’ ellipse variables with genetic algorithm (GA). With the use of the proposed framework, most of the IHC-positive cells could be detected successfully. Lymphoma: Most of the ...
Genetic Algorithms and Soft Computing 作者:Jose Luis Verdegay 页数:709 定价:$ 258.77 ISBN:9783790809565 豆瓣评分 目前无人评价 评价: 写笔记 写书评 加入购书单 分享到 推荐 我要写书评 Genetic Algorithms and Soft Computing的书评 ···(全部 0 条)...
Since this algorithm runs in linear time of the network size, it can scale up well for very large networks. Second, we develop and analyze a collection of genetic population constructors, which aim at providing a rich set of initial genetic material to the framework. Several genetic operators...
Genie: A Genetic Placement Algorithm James P. Cohoon William D. Paris © 1987 IEEE Genetic Algorithms State Space Search –similar to SA Based on principles of natural selection and evolution Population of solutions, of varying fitness levels Solutions ‘mate’ or crossover, to form ...
In this article, we propose a new algorithm named GORTS, which is based on the integration of DTSP with a genetic algorithm defined by a one-by-one revision of two sides. Combining the global search ability of the GA and the fast convergence of the method of one-by-one revision of tw...
Optimization of designing the core fuel loading pattern in a VVER-1000 nuclear power reactor using the genetic algorithm Ann. Nucl. Energy, 57 (2013), pp. 142-150 Google Scholar [37] H. Shokrkar, A. Salahi, N. Kasiri, T. Mohammadi Prediction of permeation flux decline during MF of oil...
Ligand GA is introduced in this work and approaches the problem of finding small molecules inhibiting protein functions by using the protein site to find close to optimal or optimal small molecule binders. Genetic algorithms (GA) are an effective means f
Genetic programming (GP) is a popular and powerful optimization algorithm that has a wide range of applications, such as time series prediction, classifica
The optimal fitness function, operator functions, linking function and learning algorithm were obtained for modeling daily suspended sediment. The GP estimates were compared with those of the Adaptive Neuro-Fuzzy Inference System (ANFIS), Artificial Neural Networks (ANNs) and Support Vector Machine (...