Creating a Model for Genetic Mutants Using Integer Programming Techniques

Improving the quality and functionality of life is becoming an increasing concern globally. This has led to studies to help develop better varieties of life products with improved qualities and reduced defects. This paper uses the techniques of integer programming and genetic algorithm to develop a Genetic Algorithm GA that evolution schemes of species, in which we have a population of individuals, plants, or life element represented by their own chromosome, as time goes by we breed them, mutate some of them and select who shall live and who shall die, and p a better an individual. A programmatic implementation of the schemes is given in C++ language.