Abstract:Ground maneuver in natural environment is usually limited by a number of obstacles called micro relief, which are defined as man-made and natural both elevated and depressed topographic forms that cannot be expressed with regard to its relative small height differences. This terrain feature is present almost in all types of environment and extend the “off-road” path in average about certain coefficient, dependent on the type of the area. This extension should be taken in account in particular planning and deci… Show more
“…This system was developed to support commanders in their decision-making processes [26]. This system is composed of a number of models of military tactics for optimization of the operation task at hand, see, e.g., [27][28][29][30][31][32].…”
Multi-facility location problem is a type of task often solved (not only) in logistics. It consists in finding the optimal location of the required number of centers for a given number of points. One of the possible solutions is to use the principle of the genetic algorithm. The Solver add-in, which uses the evolutionary method, is available in the Excel office software. It was used to solve the benchmark in 4 levels of difficulty (from 5 centers for 25 points to 20 centers for 100 points), and one task from practice. The obtained results were compared with the results obtained by the metaheuristic simulated annealing method. It was found that the results obtained by the evolutionary method are sufficiently accurate. Their accuracy depends on the complexity of the task and the performance of the HW used. The advantage of the proposed solution is easy availability and minimal requirements for user knowledge.
“…This system was developed to support commanders in their decision-making processes [26]. This system is composed of a number of models of military tactics for optimization of the operation task at hand, see, e.g., [27][28][29][30][31][32].…”
Multi-facility location problem is a type of task often solved (not only) in logistics. It consists in finding the optimal location of the required number of centers for a given number of points. One of the possible solutions is to use the principle of the genetic algorithm. The Solver add-in, which uses the evolutionary method, is available in the Excel office software. It was used to solve the benchmark in 4 levels of difficulty (from 5 centers for 25 points to 20 centers for 100 points), and one task from practice. The obtained results were compared with the results obtained by the metaheuristic simulated annealing method. It was found that the results obtained by the evolutionary method are sufficiently accurate. Their accuracy depends on the complexity of the task and the performance of the HW used. The advantage of the proposed solution is easy availability and minimal requirements for user knowledge.
“…More information about this topic can be found in previous works. 3,[6][7][8][9][10] Based on the previous research, the authors formulated the hypothesis described below and designed an experiment in order to prove or disprove the hypothesis. MASA SWORD simulation software, used in many NATO armies for training and other purposes, was used in the experiment for its highly rated artificial intelligence and options to specifically define and modify scores (variables).…”
The paper sets out the results of an experiment carried out using MASA SWORD simulator to verify the use of the unmanned aerial vehicle (UAV) reconnaissance model during battalion force protection activities. The authors focus particularly on the first phase of the battle—enemy approaching and early reconnaissance. The reconnaissance was planned using the UAV reconnaissance model which is part of the Tactical Decision Support System (TDSS). The aim of the experiment is to verify the possibilities of using the UAV reconnaissance model for battalion-size unit force protection and to compare this model with ordinarily used tactical procedures. The experiment proves the hypothesis defined in the introduction and quantifies some defined variables. Based on the result of the experiment, it is possible to state that UAV reconnaissance has significant impact on the effectiveness of the military mission. Moreover, the simulation environment opens a wide range of possibilities for future research including multiple simulations of the scenario, comparison of achieved results in dependence on the set conditions and variable settings, tailoring tactics for the scenario at hand, and so on.
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