Calibrating Intermediate COCOMO Model Using Genetic Algorithm

2021 ◽  
Author(s):  
Aditya Verma ◽  
Preeti
Keyword(s):  
Genetic Algorithm ◽  
Cocomo Model

scholarly journals Optimizing Basic COCOMO Model Using Simplified Genetic Algorithm

2016 ◽  
Vol 89 ◽  
pp. 492-498 ◽  
Author(s):  
Rohit Kumar Sachan ◽  
Ayush Nigam ◽  
Avinash Singh ◽  
Sharad Singh ◽  
Manjeet Choudhary ◽  
...  
Keyword(s):  
Genetic Algorithm ◽  
Cocomo Model

scholarly journals A Pragmatic Cost Effective Model to Enhance the COCOMO Model in Software Estimation

2020 ◽  
Vol 9 (5) ◽  
pp. 1745-1748
Keyword(s):  
Genetic Algorithm ◽  
Cost Estimation ◽  
Research Work ◽  
Effort Estimation ◽  
Software Effort Estimation ◽  
Estimation Model ◽  
Software Projects ◽  
Beneficial Result ◽  
Cocomo Model ◽  
The Cost

This research work is aimed at to provide effective cost estimation methodology emphasize on cost effort and time . This paper summarizes the cost effort estimation of most conventionally used models like organic and semi-detached models using an improved version of genetic algorithm that enhances an empirical methodology to reduce the cost factor and time factor in software projects. Constructive cost model(Cocomo model) is broadly used for the fruitful valuation of cost estimation which is based on KLOC method(thousands of lines of code).This method yields beneficial result in case of lines of code method but lacks in terms of concept and logics. The same is estimated directly and is computed using the function point analysis. In the software development lifecycle, the software cost effort estimation is the most demanding process. The accuracy of the estimate in choosing the estimation model is an essential factor. Such conventional software effort estimation techniques fail to compute the accuracy of effort estimation and it is not up to the mark. So here, we tend to propose the cost reduction in the software projects by using the improved version of the known genetic algorithm.

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

A Comparative Study of Ant and Genetic Algorithms in Digital Mammography

2018 ◽  
pp. 194-200
Author(s):  
J. Magelin Mary ◽  
Chitra K. ◽  
Y. Arockia Suganthi
Keyword(s):  
Genetic Algorithm ◽  
Image Processing ◽  
Medical Image ◽  
Medical Image Processing ◽  
Processing Technique ◽  
Input Image ◽  
Image Processing Technique ◽  
Computational Time ◽  
Image Mining ◽  
The Individual

Image processing technique in general, involves the application of signal processing on the input image for isolating the individual color plane of an image. It plays an important role in the image analysis and computer version. This paper compares the efficiency of two approaches in the area of finding breast cancer in medical image processing. The fundamental target is to apply an image mining in the area of medical image handling utilizing grouping guideline created by genetic algorithm. The parameter using extracted border, the border pixels are considered as population strings to genetic algorithm and Ant Colony Optimization, to find out the optimum value from the border pixels. We likewise look at cost of ACO and GA also, endeavors to discover which one gives the better solution to identify an affected area in medical image based on computational time.

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