Development of Genetic Algorithm According to Meiosis and Mitosis Specialty

Abstract

Genetic algorithm was enumerated as one of the recent artificial intelligence manner, the importance of this manner was solving large and complicated volume thinks which have large quantity of replacement substitute during special time, and the solution which results from genetic algorithm is mainly considered as perfect solution. The manner of genetic algorithm depends on solving the questions on taken from hereditary science, which mainly takes care at producing new individuals which have special properties (desirable or undesirable) through the interlock, modifications which happen on genetic groups to form new individuals. In this research the development of genetic algorithm happens according to meiosis and mitosis division, of some biologic were identified, meiosis and mitosis division which happen in living being, three ways were suggested and performance rate for each case of execution was calculated. In the first suggested method we take good results of final values, in the second suggested method the results of final values were accepted, and in the third suggested method the results was not good. A program was designed to include the application of three suggested methods and the execution on work by matlab language (Version 6.5) and depending of satellite images to complete the work.