Research and Preliminary Implementation of Intelligent Scheduling Algorithms for Aerospace Special Practitioner Weekly Training Plans Under Multi-resource Constraints
摘要
In response to the problem of scheduling weekly training plans for aerospace special practitioner under multi-resource constraints, a mathematical model for solving this problem is proposed. Based on the 1 + 1 Evolution Strategy, an adaptive modified evolutionary strategy based on simulated annealing algorithm is designed. The main operators and fitness function of the evolution strategy algorithm are elaborated in detail, and an automated scheduling program is developed using Python. The application of this program to actual examples shows that the proposed algorithm strategy has good convergence and convergence speed, and the resulting schedules are reasonable and feasible, which is benefited to improve the efficiency of aerospace special practitioner training plan scheduling in practical work.