To maximize the optimization of engineering resource in the engineering application area, this thesis analyses the theoretical foundation and mode theorem of genetic algorithms and multi objective optimization by simulating genetic algorithms into natural evolution to get the optimal solution. It also discusses the advantage of using genetic algorithm to solve the problems in multi objective optimization engineering resources and applies the multi objective genetic algorithms into the configuration of specific engineering resources. The result of simulation and optimization shows genetic algorithms are advanced, reliable and optimal in the configuration process of engineering resources.