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
Population Constructor A B E G I J Step 1: Randomly select a net (Z) Step 2: Place free modules in net Z on grid from L to R Step 3: Update free modules and nets Step 4: Select next net Do { module m = previous module placed } Until ( m is in a free net ) if (success...
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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...
The paper exploits advantages of the genetic algorithm and fuzzy logic in identification and control of 2DOF nonlinear helicopter model. The genetic algorithm is proposed for identification of the helicopter system, which contains a helicopter body, main and tail motors and drivers. The quality of ...
In this paper, we have reviewed the role of soft computing techniques, such as fuzzy logic, artificial neural networks, evolutionary algorithms and their hybridization, for modeling GRNs. In addition, recent developments in this area are introduced and various challenges and opportunities for future ...
Prince, S., Kumar, K.R.S. RETRACTED ARTICLE: A novelNth-order IIR filter-based graphic equalizer optimized through genetic algorithm for computing filter order.Soft Comput23, 2683–2691 (2019). https://doi.org/10.1007/s00500-018-3640-9 ...
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
The GA implemented in this prototype was evaluated by comparing it with the J4.8 algorithm, a variant of the well-known C4.5 algorithm. Experiments were carried out to evaluate both the predictive accuracy and the degree of interestingness (or surprisingness) of the rules discovered by both ...
Genetic programming (GP) is a popular and powerful optimization algorithm that has a wide range of applications, such as time series prediction, classifica