Dynamic multi-objective optimization of battlefield support resources based on Interactive Genetic Algorithm

2019 2nd International Conference on Advanced Materials, Intelligent Manufacturing and Automation

Ning, Lei^1 ; Jiping, Cao^1 ; Yinjie, Gao^1 ; Qingxiao, Wang^1

Xi 'An High-tech Research Institute, 710025, China^1

关键词: Algorithm for solving;    Battlefield environments;    Dynamic multiobjective optimization;    Interactive genetic algorithm;    Military activities;    Military conflicts;    Multi objective;    Optimal allocation models;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/569/5/052054/pdf
DOI  :  10.1088/1757-899X/569/5/052054

来源: IOP

【 摘 要 】

With the deterioration of the international environment and the intensification of military conflicts, the scale, type, direction and emphasis of military activities are constantly changing. which requires the corresponding adjustment of maintenance and support resources to ensure that the wartime support tasks are met in various battlefield environments. Based on the background that the support demand and battlefield situation have changed and the original resource support scheme can not meet the needs of wartime support tasks, this paper readjusts the support resources dynamically to ensure the strong support of combat forces, constructs a dynamic multi-objective optimal allocation model of battlefield support resources, formulates corresponding strategies, and presents a heuristic algorithm for solving the model.