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Planning method of equipment quantity based on genetic algorithm

Title: Planning method of equipment quantity based on genetic algorithm
Authors: CAO Kai; LIU Xingyu; HE Shaofei; XU Xingshun; CHI Jiacheng
Source: Zhihui kongzhi yu fangzhen, Vol 48, Iss 1, Pp 126-133 (2026)
Publisher Information: Editorial Office of Command Control and Simulation
Publication Year: 2026
Collection: Directory of Open Access Journals: DOAJ Articles
Subject Terms: equipment system|quantity planning|analytic hierarchy process|expected capability|genetic algorithm; Military Science
Description: In order to solve the quantity planning problem for the equipment system design, the “mission-capacity-type-model” four-equipment system construction method and process is presented based on the department of defense architecture framework. Secondly, the analytic hierarchy process is used to complete the weight distribution of each element of the equipment system. The equipment capability gap function is constructed based on the expected capability, and the calculation method of the expected and actual equipment capability is given. Then, the equipment quantity planning model with the minimization of the total capability gap of the equipment system as the optimization objective and the equipment quantity and investment as the constraint conditions is constructed, and the solution method is given based on the genetic algorithm. Finally, for a typical simulation example, the equipment system is designed and the quantity of each type of equipment is given, verifying the feasibility and effectiveness of the method.
Document Type: article in journal/newspaper
Language: Chinese
Relation: https://www.zhkzyfz.cn/fileup/1673-3819/PDF/1769583947125-1650388067.pdf; https://doaj.org/toc/1673-3819; https://doaj.org/article/1ad5861e0b624ee4800ae44b00047466
DOI: 10.3969/j.issn.1673-3819.2026.01.017
Availability: https://doi.org/10.3969/j.issn.1673-3819.2026.01.017; https://doaj.org/article/1ad5861e0b624ee4800ae44b00047466
Accession Number: edsbas.1A867CD3
Database: BASE