Cooperative Control Model of Geographically Distributed Multi-teamAgile Development Based on MO-CSO

Be aimed at the question of Geographically Distributed Collaborative Development (GDCD) parallel tasks which are difficult to coordinate control, this paper proposes a collaborative scheduling model for agile development based on Multi-Objective Cat Swarm Optimization (MO-CSO). The Cat Swarm Optimization (CSO) performs global search and local optimization with its good convergence speed and Pareto search capability, so that the model can search the optimal solution efficiently and quickly. Under the condition of limited resources, the allocation of resources and tasks is reasonably carried out to achieve a dynamic and intelligent scheduling process.And simulation experiments on the case are carried out by MATLAB, and the effectiveness of the algorithm is verified, which can quickly meet the needs of dynamic agility development.