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In the 21st century, the world's living environment and economic environment has changed dramatically. To meet this requirement, the survival of the modern enterprise environment is also different from the past, companies no longer rely on a single product or service to survive, but to rely on multiple projects portfolio management, and thus the internal management changes follow. In the management of work, business units have been concerned about is to establish and enhance their core competitiveness, which is a business unit of the eternal topic. It can be said, the company's core competence is the engine of development, is leading enterprises in the fierce competition in the continuous development of forward momentum. Generation of multi-project management and demand from many causes, both the result of the changing environment within the enterprise, but also outside the enterprise factors. These factors will focus on the performance of the enterprise division of labor and organizational changes, changes in technology development, technology and innovation management, and other aspects. As many IT companies based hardware and software development and system integration as well as late as the primary means of survival system maintenance. IT companies and general enterprises, have their own advantages but by the level of technology updates, IT project specialization and its resource constraints, these factors tend to make the implementation of multi-project management to bring a more prominent effect. IT enterprise core competitiveness of human resources, how to use limited resources allocated to multiple projects, in order to maximize the benefits of the IT companies, the shortest time to complete, it takes the lowest cost, these are the paper is to explore and solve problems . Firstly, companies from the IT human resource base assessment and multi-project priority indicators considered starting on the enterprise human resources and prioritize multiple projects, using AHP AHP and the Balanced Scorecard as a basis for tools, and on this basis to make optimization and adjustment, to make the results more reasonable and feasible. In static analysis, based on the paper uses genetic algorithms to optimize the allocation of resources, the use of project delays caused by the shortest total loss and delayed the smallest multi-objective model of mathematical modeling expectations. In the multi-project schedule management reached a stage, using genetic algorithms for resource re-scheduling, so multi-project progress tracking and resource coordination. Finally, the author has been involved in the project team selected three representative projects, the establishment of the optimization model, by using genetic algorithm optimization, data were compared before and after optimization, verified the effectiveness of the algorithm.
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