Study On Management Optimization Based On Ant Algorithms

Optimization technique is one of the basic modern scientific management methods. To meet the requirement of solving large-scale and complex optimization problems in modern management, it is urgent to develop new and efficient optimization algorithms. This paper presents quantitative methods to solve the qualitative problems.Firstly, we general introduce several typical methods of arithmetic optimization, and the theory on construction of team and why we need to team optimization. Secondly, we introduce the basic theories and advantage and disadvantage of ant algorithms, analyzing the researching and development of ant algorithms, the later chapters are based on the ant algorithms.Thirdly, the Graph Coloring is a typical optimize problem, k- Graph Coloring problem is emphasized introduced and solved by ant algorithms in this article. And we can solve the similar problems in the same algorithms.Fourthly, introducing the basic theories and methods about team and team optimization, there are many factors affect team optimization, and the factors of psychology are talked and Ant Algorithms is used to make team be optimized in this article. To make the management more scientific, qualitative problems should be quantificationally solved.