Abstract

In this paper, we proposed an efficient genetic algorithm that will be applied to linear programming problems in order to find out the Fittest Chromosomes. This paper aim to find the optimal strategy of game theory in basketball by using genetic algorithms and linear programming as well as the comparison between traditional methods and modern methods being represented in artificial intelligence, Genetic algorithms as applied in this paper. A new method was adopted in finding the optimal game strategy for player (A) and player (B) through the application of linear programming and finding solutions by using (GA) in MATLAB. The final results confirmed the equivalent of linear programming and genetic algorithms as the model was in the linear approach, and in the case of nonlinearity, genetic algorithm will be in favor definitely. The Matlab program in the calculation of the results for great possibility optimization should also be adopted.

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.