Abstract:
The article presents a method that allows determining the optimal composition of equipment for various purposes for unmanned aerial vehicles (UAVs). The method is based on a combination of expert assessment and Pareto optimization. The problem of forming a set of equipment is formulated as a Multicriterial Boolean Programming Problem. The constraints are technical requirements for the UAV-carrier of the equipment, and the requirements for the success of the search are partially expressed in the form of optimality criteria, and partially in the form of constraints. An original step-by-step procedure for recalculating the constraints of the problem is proposed, which allows taking into account the intermediate choice of the decision maker. Consequently, it becomes possible to take into account non-formalizable factors of the problem for optimization, which is an important advantage of the proposed approach compared to known methods for solving similar problems. The introduction of an expert also makes the method flexible and adaptable to external conditions. In addition, the method has minimal computational complexity and is easy for practical application in order to determine the optimal composition of the UAV equipment. The conducted computational experiments confirm the operability and effectiveness of the proposed approach.
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