Application of Improved Genetic Algorithm for Optimization of Muti-project in Limited Resources

At present, the optimization of muti-project in condition of limited resources is very hard to obtain the satisfying computation result by using traditional methods. However, genetic algorithm is better than the traditional optimization methods in getting the optimization solution. Therefore, it is necessary to combine genetic algorithm with this problem. Genetic algorithm and adaptive genetic adaptive are applied for the optimization problem, and the feasibility and efficiency of the methods are verified by a case. Therefore, the method has its application value for the resource optimization of muti-project management.