White Box Testing Using Genetic Algorithm—An Extensive Study

2020 ◽  
pp. 167-187
Author(s):  
Deepti Bala Mishra ◽  
Arup Abhinna Acharya ◽  
Srikumar Acharya
Keyword(s):  
Genetic Algorithm ◽  
Extensive Study ◽  
White Box Testing

scholarly journals An Extensive Study for a Wide Utilization of Green Architecture Parameters in Built Environment Based on Genetic Schemes

Buildings ◽  
2021 ◽  
Vol 11 (11) ◽  
pp. 507
Author(s):  
Ghada Elshafei ◽  
Silvia Vilčeková ◽  
Martina Zeleňáková ◽  
Abdelazim M. Negm
Keyword(s):  
Genetic Algorithm ◽  
Decision Making ◽  
Green Building ◽  
Extensive Study ◽  
Nsga Ii ◽  
Multi Objective ◽  
Green Architecture ◽  
Multi Objective Programming ◽  
The Neural Network ◽  
Economic Future

Recently, green structures turned into a huge path to an economic future. Green building outlines include finding the harmony between agreeable home living and a maintainable environment. Furthermore, the usage of modern technologies is seen as part of greener construction changes to make the urban environment more viable. This paper introduces an exhaustive state-of-art review and current practices to look for the ideal green arrangement’s models, procedures, and parameters utilizing the genetic algorithms innovations to help for settling on the most ideal choice from various options. The integrated Genetic Algorithm (GA) along with the Nondominated Sorting Genetic Algorithm strategy GA-NSGA-II is considered to be more accurate for predicting a viable future. The above methodology is widely relevant for its humility, ease of execution, and enormous durability. Besides other approaches, the GA was incorporated as well as the Neural Network (NN), Simulated Annealing (SA), Fuzzy Set theory, decision-making multicriteria, and multi-objective programming. The most fashionable methods are moderately the embedded GA-NSGA-II approaches. This paper gives an outline of the capability of GA-based MOO in supporting the advancement of methodologies of the techniques and parameters to find the best solution for the building decision-making cycle. The GA combined schemes can fulfill all the requirements for finding the optimality in the case of multi-objective problem-solving.

Qualitative and Quantitative Modeling of the Artificial Citizens using Genetic Methods

2015 ◽  
Vol 4 (1) ◽  
pp. 23
Author(s):  
Muhammad Salman ◽  
Hajra Klair
Keyword(s):  
Genetic Algorithm ◽  
Human Development ◽  
Human Development Index ◽  
Extensive Study ◽  
Initial Population ◽  
Development Index ◽  
Fitness Evaluation ◽  
Key Indicator ◽  
Index Value ◽  
Specific Number

<p>Human Development Index is a key indicator of a country’s development as formulated by the United Nation. It determines a country’s progress in three main areas: Life Expectancy, Education and Income. A number of researches have been made for the understanding of how the different factors that together make up the Human development Index are correlated and to what extent each of them affects the HDI value. However, there are always certain unpredictable events that directly or indirectly affect the Human Development Index. Our project aims to incorporate the interdependencies between different factors of the HDI with the simulation of random events in an artificial population to establish the HDI value. This value is future forecasting as the HDI value output would be based upon the input values given by the user, including a certain number of years after which HDI is to be determined. The user would also have other options available to him which he can use to determine the HDI value. That is, after changing the values of various different factors upon which HDI depends by his own choice, the user can effectively study different elements affecting HDI. This can prove to be a great convenience in policy making.</p> Genetic Algorithm is a technique that mimics the process of natural evolution. The essence of Genetic Algorithm is being employed in this system to generate artificial agents for Pakistan’s entire population. This population (represented as chromosomes of bit strings) would then undergo various genetic operations like fitness evaluation, cross-over and mutation. Then after certain generations of the initial population have evolved after a specific number of years as input by the user, the Human Development Index value would be calculated. This value would be determined from the statistical analysis of the population. This analysis has been encoded in the system and is result of extensive study of various research articles and books that facilitate in understanding how socio-economic parameters affect each other and the HDI.

Robust genetically optimized skew laminates

2018 ◽  
Vol 233 (1) ◽  
pp. 146-159 ◽  
Author(s):  
Kanak Kalita ◽  
Partha Dey ◽  
Salil Haldar
Keyword(s):  
Genetic Algorithm ◽  
Boundary Conditions ◽  
Optimization Algorithm ◽  
Research Work ◽  
Extensive Study ◽  
Stacking Sequence ◽  
Different Boundary Conditions ◽  
Fundamental Frequencies ◽  
Wide Range ◽  
Safe Limit

The present research work explores genetically optimized skew laminates, whose stacking sequence has been varied to maximize their fundamental frequencies with the help of an efficient optimization algorithm. Genetic algorithm, rather than being applied blindly with empirical parameters, is tuned with respect to the problem at hand. Following an extensive study, genetic algorithm parameters are selected carefully so as to ensure a robust optimized stacking sequence. The sensitivity of ply angles is also investigated so as to warrant against marginal manufacturing perturbations. The safe limit for variation of ply angles without much hampering the frequency is also recommended. Validation with existing solutions illustrates the efficiency of the procedure. A wide range of results with rectangular/ skew plates of different layers having symmetric/ antisymmetric ply-orientations, subject to different boundary conditions are solved, which demonstrate the efficacy of the approach.

Examination of Schistosome Cercariae and Schistosomules by Scanning Electron Microscopy

1969 ◽  
Vol 27 ◽  
pp. 50-51
Author(s):  
D. Johnson ◽  
P. Moriearty
Keyword(s):  
Electron Microscopy ◽  
Scanning Electron Microscopy ◽  
High Resolution ◽  
Light Microscopy ◽  
Surface Structure ◽  
Extensive Study ◽  
Scanning Microscopy ◽  
Host Parasite ◽  
Conventional Electron Microscopy ◽  
Scanning Electron

Since several species of Schistosoma, or blood fluke, parasitize man, these trematodes have been subjected to extensive study. Light microscopy and conventional electron microscopy have yielded much information about the morphology of the various stages; however, scanning electron microscopy has been little utilized for this purpose. As the figures demonstrate, scanning microscopy is particularly helpful in studying at high resolution characteristics of surface structure, which are important in determining host-parasite relationships.

Methods for making stereoslides and -prints, with freeze-etched olfactory epithelium as example

1984 ◽  
Vol 42 ◽  
pp. 704-705
Author(s):  
Bert Ph. M. Menco ◽  
Ido F. Menco ◽  
Frans L.T. Verdonk
Keyword(s):  
Electron Microscope ◽  
Olfactory Epithelium ◽  
Three Dimensional ◽  
Supporting Cell ◽  
Structural Features ◽  
Extensive Study ◽  
Sprague Dawley ◽  
Freezing Method ◽  
Respiratory Epithelia ◽  
Three Dimensional Presentation

Previously we presented an extensive study of the distributions of intramembranous particles of structures in apical surfaces of nasal olfactory and respiratory epithelia of the Sprague-Dawley rat. For the same structures these distributions were compared in samples which were i) chemically fixed and cryo-protected with glycerol before cryo-fixation, after excision, and ii)ultra-rapidly frozen by means of the slam-freezing method. Since a three-dimensional presentation markedly improves visualization of structural features micrographs were presented as stereopairs. Two exposures were made by tiling the sample stage of the electron microscope 6° in either direction with an eucentric goniometer. The negatives (Agfa Pan 25 Professional) were reversed with Kodak Technical Pan Film 2415 developed in D76 1:1. The prints were made from these reversed negatives. As an example tight-junctional features of an olfactory supporting cell in a region where this cell conjoined with two other cells are presented (Fig. 1).

The ground state energy of the ±J spin glass from the genetic algorithm

1994 ◽  
Vol 4 (9) ◽  
pp. 1281-1285 ◽  
Author(s):  
P. Sutton ◽  
D. L. Hunter ◽  
N. Jan
Keyword(s):  
Genetic Algorithm ◽  
Spin Glass ◽  
Ground State Energy ◽  
Ground State ◽  
State Energy

Arg506GIn Factor V Mutation (Factor V Leiden) in Patients with Ischaemic Cerebrovascular Disease and Survivors of Myocardial Infarction

1995 ◽  
Vol 73 (04) ◽  
pp. 558-560 ◽  
Author(s):  
Kimmo Kontula ◽  
Antti Ylikorkala ◽  
Helena Miettinen ◽  
Alpo Vuorio ◽  
Ritva Kauppinen-Mäkelin ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Cerebrovascular Disease ◽  
Factor V Leiden ◽  
Mutant Gene ◽  
Arterial Disease ◽  
Cerebrovascular Diseases ◽  
Extensive Study ◽  
Carrier Status ◽  
Factor V ◽  
Ischaemic Attack

SummaryThe point mutation Arg506->Gln of factor V was recently shown to be an important and relatively common genetic cause of venous thromboembolism. Using a DNA technique based on polymerase chain reaction, we surveyed the blood samples of 236 patients with ischaemic stroke or a transient ischaemic attack, 122 survivors of myocardial infarction and 137 control subjects for the presence of this mutation. Although the frequency of the factor V mutation in patients with arterial disease (4.5%) was not significantly different from that in healthy blood donors (2.9%), a carrier status for this mutant gene was associated with symptoms of migraine and relatively mild angiographic abnormalities among patients with cerebrovascular disease. A more extensive study addressing the occurrence and significance of the mutant factor V mutation in patients with vasospastic cerebrovascular diseases seems to be warranted.

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