Adaptive Genetic Algorithm Renewed by Migration Operator

In the present study, Genetic Algorithm and developed Adaptive are used to solve optimization problems faced in modeling of complex systems. While using Algorithm, most important problem encountered is that these algorithms prone getting stuck local bests. For example, system data process it has been observed frequently fitted bests a certain period time. The reasons that, many mutations cannot be performed limited number iterations, because individuals limited, population filled with same set solutions short Therefore, migration operator added algorithm order avoid provide search wider area large space we have tested Lotka Volterra Model. When results examined, outperforms targeted success achieved optimization. rest paper, Method Section explained outlines. Experimental Studies Section, different compared each other Lotka-Voltera model numerical test functions. Conclusions Discussions brief information given about general future studies.