Research of the herd immunity algorithm from coronavirus for solving optimization problems
| Jazyk: | ruština |
|---|---|
| Rok vydání: | 2022 |
| Předmět: |
опÑимизаÑиÑ
metheuristic algorithms меÑÐ¾Ð´Ñ Ð¾Ð¿ÑимизаÑии коллекÑивнÑй иммÑниÑÐµÑ Ð°Ð»Ð³Ð¾ÑиÑм коллекÑивного иммÑниÑеÑа optimization methods herd immunity меÑаÑвÑиÑÑиÑеÑкие алгоÑиÑÐ¼Ñ optimization herd immunity algorithm |
| DOI: | 10.18720/spbpu/3/2022/vr/vr22-3137 |
| Popis: | Тема вÑпÑÑкной квалиÑикаÑионной ÑабоÑÑ: «ÐÑÑледование алгоÑиÑма коллекÑивного иммÑниÑеÑа Ð¾Ñ ÐºÐ¾ÑонавиÑÑÑа Ð´Ð»Ñ ÑеÑÐµÐ½Ð¸Ñ Ð·Ð°Ð´Ð°Ñ Ð¾Ð¿ÑимизаÑии». ÐÐ°Ð½Ð½Ð°Ñ Ð²ÑпÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑикаÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑабоÑа поÑвÑÑена иÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ñ Ð½Ð¾Ð²Ð¾Ð³Ð¾ алгоÑиÑма коллекÑивного иммÑниÑеÑа Ð¾Ñ ÐºÐ¾ÑонавиÑÑÑа, оÑнованного на пÑиÑоде Ñеловека. ÐлгоÑиÑм имиÑиÑÑÐµÑ ÑÑÑаÑÐµÐ³Ð¸Ñ ÐºÐ¾Ð»Ð»ÐµÐºÑивного иммÑниÑеÑа, а Ñакже конÑепÑии ÑоÑиалÑного диÑÑанÑиÑованиÑ, как ÑпоÑобов боÑÑÐ±Ñ Ñ Ð¸Ð½ÑекÑией коÑонавиÑÑÑа. ÐадаÑи, коÑоÑÑе ÑеÑалиÑÑ Ð² Ñ Ð¾Ð´Ðµ иÑÑледованиÑ: - изÑÑение оÑновнÑÑ ÐºÐ¾Ð½ÑепÑий ÑабоÑÑ Ð°Ð»Ð³Ð¾ÑиÑма коллекÑивного иммÑниÑеÑа Ð¾Ñ ÐºÐ¾ÑонавиÑÑÑа; - ÑеализаÑÐ¸Ñ Ð°Ð»Ð³Ð¾ÑиÑма в пÑогÑаммной ÑÑеде в ÑооÑвеÑÑÑвии Ñ Ð¾Ð¿Ð¸Ñанием его ÑабоÑÑ; - ÑеÑÑиÑование Ñеализованного алгоÑиÑма; - анализ ÑезÑлÑÑаÑов ÑеÑÑиÑованиÑ. РеализаÑÐ¸Ñ Ð°Ð»Ð³Ð¾ÑиÑма вÑполнена на ÑзÑке пÑогÑаммиÑÐ¾Ð²Ð°Ð½Ð¸Ñ MATLAB на оÑнове ÑаÑÑмоÑÑеннÑÑ ÐºÐ¾Ð½ÑепÑий ÑабоÑÑ. ÐÐ»Ñ Ð¾Ñенки ÑабоÑоÑпоÑобноÑÑи ÑазÑабоÑанного алгоÑиÑма бÑло пÑоизведено его ÑеÑÑиÑÐ¾Ð²Ð°Ð½Ð¸Ñ Ñ Ð¿Ð¾Ð¼Ð¾ÑÑÑ ÑеÑÑовÑÑ ÑÑнкÑий Ñазной модалÑноÑÑи. Ðа оÑнове полÑÑеннÑÑ ÑезÑлÑÑаÑов ÑеÑÑиÑÐ¾Ð²Ð°Ð½Ð¸Ñ Ð±Ñли ÑÐ´ÐµÐ»Ð°Ð½Ñ Ð²ÑÐ²Ð¾Ð´Ñ Ð¾Ð± ÑÑÑекÑивноÑÑи алгоÑиÑма и пÑоведен анализ ÑпÑавлÑÑÑÐ¸Ñ Ð¿Ð°ÑамеÑÑов Ñ Ð¿Ð¾Ð¼Ð¾ÑÑÑ ÑазлиÑнÑÑ ÑÑенаÑиев ÑеÑÑиÑованиÑ. The subject of the graduate qualification work is "Research of the herd immunity algorithm from coronavirus for solving optimization problems". This final qualifying work is devoted to the study of a new algorithm for herd immunity from coronavirus based on human nature. The algorithm mimics the herd immunity strategy, as well as the concept of social distancing, as a way to combat coronavirus infection. Tasks solved during the research: - study of the basic concepts of the herd immunity algorithm from coronavirus; - implementation of the algorithm in the software environment in accordance with the description of its work; - testing of the implemented algorithm; - analysis of test results. The algorithm was implemented in the MATLAB programming language based on the considered concepts of work. To assess the performance of the developed algorithm, it was tested using test functions of different modality.Conclusions were drawn about the effectiveness of the algorithm based on the test results obtained and an analysis of the main control parameters was made using various test scenarios. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|