Research on heavy equipment transportation vehicle scheduling optimization problem based on NSGA-III algorithm
Year: 2025
Type: conference-paper
Abstract: In this study, the optimization model is constructed and the NSGA-III algorithm is introduced for the heavy equipment transportation vehicle scheduling problem to ensure that the heavy equipment transportation task can be completed quickly and efficiently in emergency situations. The optimized scheduling scheme can not only shorten the time of combat readiness assembly and improve the execution efficiency of the transportation task, but also maintain the combat capability under the complex environment and multiple constraints, thus effectively enhancing the level of combat readiness and rapid reaction capability of the troops. This is of great significance in enhancing the ability of troops to carry out their tasks, safeguarding national security and responding to sudden military operations.
Authors: Aming Ye, Huaiqiang Zhang
Institution: Naval University of Engineering
Language: English
Subfield: Industrial and Manufacturing Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: gold
OpenAlex ID: W4413290103