APSO based automated planning in Constructive Simulation

Pub Date : 2023-08-31 DOI:10.14429/dsj.73.18497
Sanjay Bisht, S.B. Taneja, Vinita Jindal, Punam Bedi
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引用次数: 1

Abstract

Constructive simulations are the applications used by the military for the training of their commanders in planning and analysis of various threats and Courses of Action. In the ‘analysis wargames’, there are need to automate many of the tasks of the commander which are carried out by subunit commanders on the ground. Deployment of defence units is one of such important decision making by commander. Deployments of units (and sub units) is dependent on multiple factors which needs to be satisfied/optimised for meeting the given objective of the unit. In this paper we have attempted to solve the multi criterion decision problem of optimal deployment of defence units in mountainous terrain using Particle Swarm Optimization(PSO) and Adaptive Particle Swarm Optimization(APSO). The algorithm has been tested with varied number of decision parameters and their weights using digital elevation and vector data of the terrain features. The auto deployment outcomes are found satisfactory. Our solution approach has potential in automated planning in constructive simulations.
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构建仿真中基于APSO的自动化规划
建设性模拟是军方用于训练其指挥官规划和分析各种威胁和行动方案的应用程序。在“分析兵棋”中,需要将指挥官的许多任务自动化,这些任务是由地面上的分队指挥官执行的。防御部队的部署是指挥官做出的重要决策之一。单位(和子单位)的部署取决于多个因素,这些因素需要得到满足/优化,以达到单位的既定目标。本文尝试用粒子群算法和自适应粒子群算法解决山地地形下防御部队最优部署的多准则决策问题。利用地形特征的数字高程和矢量数据,对该算法进行了不同数量的决策参数及其权重的测试。自动部署结果令人满意。我们的解决方案在建设性模拟的自动规划中具有潜力。 & # x0D;
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