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IJSTR >> Volume 9 - Issue 6, June 2020 Edition



International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616



Maximizing Profits Using Genetic Algorithm

[Full Text]

 

AUTHOR(S)

Alaa Obeidat, Mohammed Al-Shalabi, Addy Al-quraan, Wafa’ Almaa’itah

 

KEYWORDS

Crossover, Decision Support System, Genetic Algorithm, Offer, Optimization.

 

ABSTRACT

Maximizing profits from products that one sells in a given marketplace is the main goal of any manager, entrepreneur, or a marketer who wants to make his business a success. This study aims at illustrating how this can be made possible by use of genetic algorithms. The proposed approach can be used by managers and marketers to maximize profits by increasing sales of products through optimization of the genetic algorithm (GA). The optimization results to greater accuracy in prediction and improves classification of the products in groups. Each group contains products with high sales and low sales. Then after applying the GA operations we will generate groups of three items and the manager then can make a promotion to sell these products together and improve the sales of products that are not selling well. This research seeks to provide manages with decision support model which will help them maximize sales and profits resultantly. Optimization using genetic algorithms is done in this research where versatile tools could be used in adjusting a business to reach a global scale in research. This will be achieved from the aspect of this research implementing a global optimization method that has capabilities of non-differentiating functions. The test conducted utilized minimum attention to generic algorithm. In this case, it is preferred that performance would be possible to implement rather than executing the algorithms in a way that they would run longer and on which that they would require varying selection method, rate of mutation, and the population size.

 

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