Solving logistics transportation based on improved genetic algorithm

Be dead against limitation of the traditional genetic algorithm, bring up the method based on elements of immune system and adaptation of the genetic operator, that is immune genetic algorithm, it can prevent premature convergence, assure the diversity of the colony, when using the algorithm to look for the optimization solution, obtain to prevent to search the optimization solution in local situation. Using the algorithm to solve the logistics transportation, proof the algorithm has been improved.