Multi-Objective Dynamic Scheduling Problem of Bottlenecks in Emergencies Based on Plant Growth Simulation Algorithm

Emergency projects' optimal resource scheduling is in a complex and dynamic environment. It makes the problem-solving more difficult. Theory of constraints can simplify the complex system problems. Firstly, the problem's characteristics were analyzed from the aspects of the optimal goal, machine environment, processing characters and constraints. The mathematical model was built. Then, the hybrid rescheduling strategy was designed. The least flexible rules were chosen to get the initial solutions combining the problem's characteristics, and to design the improved plant growth simulation algorithm to solve the problem iteratively. Finally, the feasibility and superiority of the designed method was verified by the results of the algorithms.