METHOD OF GENETIC PROGRAMMING FOR SOLVING THE PROBLEM OF OPERATIONAL SCHEDULE PLANNING OF DISCRETE PRODUCTION

This paper considers the issues of organization of parallel information processing when solvingproblems of applied photogrammetry, namely the formation of high-resolution images. The article presentsa new information processing method for obtaining high-resolution (HR) image formation for appliedphotogrammetry tasks based on adaptive stitching of subframes on the basis of key point matchingand contour analysis using a low-resolution (LR) reference image as a template. One of the features of themethod is parallelization of information processing, which is achieved by working in a group of mobileobjects. The novelty of the method lies in the combination of the following key components: the use of thereference LR-image as a template is the basis for parallelization of information processing processes, andallows to organize joint work of the process participants according to common rules, as well as to minimizethe global errors of frame stitching; the use of a complex algorithm of subframe matching by keypoints for stitching the high-resolution image by LR-template allows to significantly increase the detailand accuracy of image reconstruction due to the coefficient of error of the image stitching. Experimentalresults demonstrate a 25% improvement in stitching accuracy (SSIM = 0.92) and a 40% reduction in processingtime compared to traditional methods. The method is adapted for application on devices with limitedcomputational resources, including distributed systems based on mobile platforms, and allows parallelization-based optimization in a group of mobile devices (mobile objects, MOs).