Issue |
MATEC Web Conf.
Volume 234, 2018
BulTrans-2018 – 10th International Scientific Conference on Aeronautics, Automotive and Railway Engineering and Technologies
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Article Number | 01008 | |
Number of page(s) | 4 | |
Section | Aeronautics | |
DOI | https://doi.org/10.1051/matecconf/201823401008 | |
Published online | 21 November 2018 |
General approach to optimize settings of ship radars repair procedures
1 Nikola Vaptsarov Naval Academy, Faculty of Navigation, 9026 Varna, Bulgaria
2 Nikola Vaptsarov Naval Academy, Department of Electronics, 9026 Varna, Bulgaria
* Corresponding author: egigugi@abv.bg
A number of possible formal methods for constructing an approach to solve the problem of global optimization of the setting process of ship radars repair procedure are introduced in this paper. The basis of the formalized task assignment is the selection of a sequence of operations related to determining the corresponding values of the electronic (electrical) components of radars, providing the global optimum of the created imitation model of the whole task with the corresponding subtasks. The algorithm of the global optimization task is built in the form of imitation experimental procedures with a multi-alternative optimization model. The multi-plan character (taking into account the different ranges) and the multi-criteria of such an experiment require an automatic search for optimizing the scanning at different ranges. The alternative for inclusion in the relevant group, with good result achieved is set in accordance with expert estimations (for the time of the scanning), Boolean variables (alternative for the inclusion of different ranges) or stochastic variables – by nomograms. The six-steps method (for six different ranges) is presented as a sequence of achieved optimums for the different ranges. The optimal set of functions determined by the task solution method is a solution of a stochastic problem including scanning time, pulse duration and ranges.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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