A multiobjective approach towards weapon assignment in a ground-based air defence environment
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Two objectives, namely the cost of assigning weapon systems for engagement and the accumulated survival probabilities of observed threats as a result of these engagements, were isolated from these factors in order to derive a bi-objective WA model, solved in the context of a simulated, but realistic, GBAD environment.Abstract:
A typical ground-based air defence (GBAD) environment comprises defended assets on the ground which require protection from enemy aircraft entering the defended airspace. Protection against these aircraft is afforded by means of pre-deployed ground-based weapon systems that are assigned to engage these enemy aircraft according to some pre-specified criterion or set of criteria. The conditions under which human operators have to propose assignments of weapon systems to engage these aircraft are severely stressful since time is a critical factor and there is no room for error. Some progress has already been made with respect to the design of computerised threat evaluation and weapon assignment (TEWA) decision support systems (DSSs) within the context of a GBAD system. However, the weapon assignment (WA) component within such a TEWA DSS is typically based on a single criterion (objective). The aim in this paper is to model the WA problem as a multiobjective decision problem. A list of relevant factors (related to objectives) is identified by means of feedback received from a WA questionnaire which was completed by a number of military experts. For illustrative purposes, two objectives, namely the cost of assigning weapon systems for engagement and the accumulated survival probabilities of observed threats as a result of these engagements, were isolated from these factors in order to derive a bi-objective WA model. This model is solved in the context of a simulated, but realistic, GBAD environment by means of an existing multiobjective solution technique called the Nondominated Sorting Genetic Algorithm II.read more
Citations
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Journal ArticleDOI
Decision support system for optimum decision making process in threat evaluation and weapon assignment: Current status, challenges and future directions
Afshan Naseem,Afshan Naseem,Syed Tasweer Hussain Shah,Shoab A. Khan,Shoab A. Khan,Asad Waqar Malik +5 more
TL;DR: A new approach is proposed and presents a combination of decision support system and threat perception, with simultaneous evaluation, neutralization, weapon supply, inventory and assignment, in TEWA-DSS to bring remarkable improvement in existing system by incorporating the missing parameters.
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A real-time man-in-loop threat evaluation and resource assignment in defense
TL;DR: The addition of new parameters and constraints in the new proposed model makes it a unique approach in which more accurate results, in neutralizing the threats, are obtained with less use of ammunition and damage of assets that makes TEWA more effective and efficient tool for optimum decision making in time critical situations.
Journal ArticleDOI
A tri-objective, dynamic weapon assignment model for surface-based air defence
DP Lötter,JH van Vuuren +1 more
TL;DR: A tri-objective, dynamic weapon assignment model is proposed by modelling the weapon assignment problem as a multi- objective variation of the celebrated vehicle routing problem with time windows.
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Decision-Making of Underwater Cooperative Confrontation Based on MODPSO
Na Wei,Mingyong Liu,Weibin Cheng +2 more
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Dissertation
Design of a weapon assignment subsystem within a ground-based air defence environment
TL;DR: An architecture for the weapon assignment part of a computerised threat evaluation and weapon assignment decision support system is put forward and it is found that the results are plausible in terms of realism and practical executability.
References
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Journal ArticleDOI
A fast and elitist multiobjective genetic algorithm: NSGA-II
TL;DR: This paper suggests a non-dominated sorting-based MOEA, called NSGA-II (Non-dominated Sorting Genetic Algorithm II), which alleviates all of the above three difficulties, and modify the definition of dominance in order to solve constrained multi-objective problems efficiently.
Journal ArticleDOI
Muiltiobjective optimization using nondominated sorting in genetic algorithms
N. Srinivas,Kalyanmoy Deb +1 more
TL;DR: Goldberg's notion of nondominated sorting in GAs along with a niche and speciation method to find multiple Pareto-optimal points simultaneously are investigated and suggested to be extended to higher dimensional and more difficult multiobjective problems.
Book
the delphi method: techniques and applications
Harold A. Linstone,Murray Turoff +1 more
TL;DR: The present model clarifies some of the conceptual problems associated with cross-impact analysis, and supplies a relatively sound basis for revising probability estimates in the limited case where interactions can be approximated by relative probabilities.
Book
Multiple Criteria Decision Analysis: An Integrated Approach
TL;DR: This book is not only a theoretical document, but also provides good coverage of practical issues and can be recommended to a broad audience, ranging from those in academic institutions to practitioners, as well as those who are interested in finding information on multiple criteria approaches, methods and techniques.
Journal ArticleDOI
The Delphi Method for Graduate Research
TL;DR: The Delphi method is a mature and a very adaptable research method used in many research arenas by researchers across the globe and can be applied to problems that do not lend themselves to precise analytical techniques.