Simplification of missile effective coverage zone in air defence simulations

Farlik, Jan; Časar, Josef; Starý, Vadim

doi:10.1109/miltechs.2017.7988853

Cited by 9 publications

(5 citation statements)

References 9 publications

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“…Targets in the higher levels of the atmosphere can usually be destroyed at greater distances, since the missile at these altitudes does not overcome enormous air resistance. Subject Matter Experts (SME) estimates about current and future anti-aircraft missiles and missile guidance mathematical modelling represent an important part of the theoretical basis for the creation of a ground-based tactical air defence simulator [1,2]. Such simulators could be applicable both to the training of personnel in air defence operations centres and practical exercises at the University of Defence.…”

Section: Resultsmentioning

confidence: 99%

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Modelling Missile Flight Characteristics by Estimating Mass and Ballistic Parameters

Farlik

Hamtil

Krátký

2019

AiMT

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This paper deals with one of the possible methods of a qualified estimation of tactical and technical parameters of surface-to-air or air-to-air guided missiles. This method is designed to estimate missile flight parameters if they are unavailable from public sources. Although the method does not provide exact values, it is sufficient for modelling and subsequent simulation. This method is based on the use of so-called "characteristic numbers" of the missile and on the assumption of validity of the hypothesis about the similarity of characteristic missile numbers of equal or, respectively, similar technological levels. To validate the obtained parameters, a method of mathematical modelling of the missile guidance process is used. The method can also be used for a qualified estimation of missile parameters in the case of an acquisition process.

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Section: Resultsmentioning

confidence: 99%

“…The results can then be used, for example, in education process, in air defence simulations (activities connected with the preparation of operations centres personnel) [1][2][3], or finally for objective assessment of SAM systems properties within the acquisition processes.…”

Section: Introductionmentioning

confidence: 99%

Modelling Missile Flight Characteristics by Estimating Mass and Ballistic Parameters

Farlik

Hamtil

Krátký

2019

AiMT

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“…There exists a lot of papers oriented to the area of path/manoeuvre optimization, for instance J. Li, G. Deng et al (Li et al, 2016) or papers talking about microrelief in context of water erosion Luo et al (2018), or overall optimization of system capability distribution (Foltin et al, 2018) or other operational aspects of the path optimization (Kress, 2002;Rybar, 2002;Washburn & Kress, 2009;Mokrá, 2012;Mazal et al, 2016;Rybansky, 2014;Rybansky & Vale, 2009;Bruzzone, 2018;Bruzzone & Massei, 2017;Nohel, 2019;Nohel et al, 2019;Nohel & Flasar, 2020;Farlík et al, 2017), but no paper dealing with operational aspects of the microrelief was found. So the topic could not be considered as unfolded and from the operational perspective is still actual.…”

Section: State Of the Art Analysesmentioning

confidence: 99%

Modelling of the microrelief impact to the cross country movement

Mazal¹,

Rybanský²,

Bruzzone³

et al. 2020

Proceedings of the 22nd International Conference on Harbor, Maritime and Multimodal Logistic Modeling &Amp; Simulation(HMS 2020

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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 decision making process tighten to a “just in time” concept, widely present for example in the operational environment. The aim of the article is to describe the methodology of evaluation of the influence of micro-relief shapes on the mobility of military vehicles. The article is based on the statistical determination of the extent of micro-relief shapes in the territory of the Czech Republic

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“…It has been implemented into several models of military tactics, such as optimal cooperative reconnaissance by aerial and/or ground unmanned vehicles, and optimal logistics distribution on the battlefield. More details about the information support of commanders can be found in [33][34][35][36][37][38][39].…”

Section: Practical Applicationmentioning

confidence: 99%

Using Metaheuristics on the Multi-Depot Vehicle Routing Problem with Modified Optimization Criterion

Stodola

2018

Algorithms

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This article deals with the modified Multi-Depot Vehicle Routing Problem (MDVRP). The modification consists of altering the optimization criterion. The optimization criterion of the standard MDVRP is to minimize the total sum of routes of all vehicles, whereas the criterion of modified MDVRP (M-MDVRP) is to minimize the longest route of all vehicles, i.e., the time to conduct the routing operation is as short as possible. For this problem, a metaheuristic algorithm-based on the Ant Colony Optimization (ACO) theory and developed by the author for solving the classic MDVRP instances-has been modified and adapted for M-MDVRP. In this article, an additional deterministic optimization process which further enhances the original ACO algorithm has been proposed. For evaluation of results, Cordeau's benchmark instances are used.Algorithms 2018, 11, 74 2 of 14 was introduced by Montoya-Torres et al. [6], who consider papers published between 1988 and 2014. Several variants of MDVRP are studied in the article: time windows, split delivery, heterogeneous fleet, periodic deliveries, and pickup and delivery. Another survey of publications on VRP and its variants can be found in [7], where 277 articles published between 2009 and 2015 are classified.Popular metaheuristic algorithms for MDVRP are based on the tabu search approach. One of the first tabu search-based algorithms was published by Gillet and Johnson in 1976 [8]. The same approach is used by Chao, Golden and Vasil [9], or Renaud, Laporte and Boctor [10], and indeed, examples of new algorithms using the tabu search approach continue to be published [11,12].Other popular metaheuristic approaches for MDVRP are simulated annealing [13,14] and genetic algorithms [15]. A hybrid algorithm, based on both simulated annealing and the genetic approach, was proposed by Seidgar et al. [16]. An excellent survey of papers using genetic algorithms for MDVRP can be found in [17].More recently, bio-inspired algorithms have also been broadly used for MDVRP. Ant colony optimization algorithms are inspired by the behavior of ants when searching for food. There are many publications using this for MDVRP. Yu, Yang and Xie [18] proposed an algorithm which transfers the problem to VRP by inserting a virtual central depot (V-MDVRP). Another solution was proposed by Yao et al. [19], who applied the ACO algorithm to a seafood product delivery routing problem. The most recent works include algorithms by Yalian [20], Gao [21], and Ma et al. [22].In the last few years, hybrid metaheuristic methods have emerged. They combine features from various methodologies to take advantage of their different strengths. Ting and Chen [23] introduced a combination of the ant colony algorithm, and simulated annealing for MDVRP with time windows. Vidal et al. [24] proposed a method which combines the exploration breadth of population-based evolutionary searches, the aggressive-improvement capabilities of neighborhood-based metaheuristics, and advanced population-diversity management schemes. Oliveira et al. [25] de...

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Simplification of missile effective coverage zone in air defence simulations

Cited by 9 publications

References 9 publications

Modelling Missile Flight Characteristics by Estimating Mass and Ballistic Parameters

Modelling Missile Flight Characteristics by Estimating Mass and Ballistic Parameters

Modelling of the microrelief impact to the cross country movement

Using Metaheuristics on the Multi-Depot Vehicle Routing Problem with Modified Optimization Criterion

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