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Engineering Group

Peertechz Journal of Computer Science and Engineering

Recent articles to be released shortly in Volume-3

Shrinkage Parameters for Each Explanatory Variable Found Via Particle Swarm Optimization in Ridge Regression

Published On: March 13, 2017 | Pages: 012 - 020

Author(s): Eren Bas*, Erol Egrioglu and Vedide Rezan Uslu
Ridge regression method is an improved method when the assumptions of independence of the explanatory variables cannot be achieved, which is also called multicollinearity problem, in regression analysis. ...
Abstract View Full Article View DOI: 10.17352/pjcse.000005

A Study of Global Numerical Maximization using Hybrid Chemical Reaction Algorithms

Published On: March 07, 2017 | Pages: 001 - 011

Author(s): Ransikarn Ngambusabongsopa1, Vincent Havyarimana2* and Zhiyong Li
Several approaches are proposed to solve global numerical optimization problems. Most of researchers have experimented the robustness of their algorithms by generating the result based on minimization aspect. ...
Abstract View Full Article View DOI: 10.17352/pjcse.000004

Squaring the Circle Using Modifi ed Tartaglia Method

Published On: December 30, 2016 | Pages: 018 - 019

Author(s): Mieczysław Szyszkowicz*
The paper presents a modifi ed Tartaglia method. Tartaglia proposed a simple approach to perform an approximate quadrature of the circle. His construction results with the number pi=3.125. Using a similar construction as Tartaglia but with different proportions improves the accuracy of his method. ...
Abstract View Full Article View DOI: 10.17352/pjcse.000003

Leveraging Data Analytics by Transforming Relational Database Schema in to Big Data

Published On: December 30, 2016 | Pages: 012 - 017

Author(s): Mukhtar Ahmad and Zeeshan Siddiqui*
The growth of data and its efficient handling is becoming more popular trend in recent years bringing new challenges to explore new avenues. Data analytics can be done more efficiently with the availability of distributed architecture of “Not Only SQL” NoSQL databases. ...
Abstract View Full Article View DOI: 10.17352/pjcse.000002

Optimizing the Cross Section of Cold-Rolled Steel Beams Using a Genetic Algorithm: Avoiding Local Optima Using Adaptive Mutation Control, Flexible Restriction Handling and Inbreed Avoiding Mating Strategies

Published On: April 26, 2016 | Pages: 001 - 011

Author(s): Werner Baumgartner*, Florian Esterhammer, Christoph Wolf, Anna Theresia Stadler
In modern mechanical engineering and steelwork the use of cold-rolled steel sections is a standard method. These sections should be mechanically stable on the one hand and cost efficient on the other hand. To decide what profile suits for a certain case is a constrained optimization problem which is in general non convex, i.e. several local optima exist. ...
Abstract View Full Article View DOI: 10.17352/pjcse.000001