
Evgeniya Gerasimenko- PhD
- Professor (Associate) at Southern Federal University
Evgeniya Gerasimenko
- PhD
- Professor (Associate) at Southern Federal University
About
41
Publications
1,051
Reads
How we measure 'reads'
A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Learn more
124
Citations
Introduction
Evgeniya Gerasimenko currently works at the Institute of Computer Technologies and Information Security, Southern Federal University. Evgeniya does research in Data Mining, Artificial Intelligence and Algorithms. The most recent publication is 'Method of Maximum Two-Commodity Flow Search in a Fuzzy Temporal Graph'.
Skills and Expertise
Current institution
Publications
Publications (41)
Background
Evacuation in case of disasters is of the greatest importance because of significant occurrences of natural and artificial disasters worldwide, which is why a reliable evacuation plan is always needed. However, evacuation models are difficult to develop due to various uncertain aspects that need to be considered, multiple and often confl...
The work is devoted to solving the scientific problem of decision support for the prevention and elimination of emergency situations (ES) consequences based on fuzzy logic and machine learning methods. The relevance of this problem is due to the need to optimize the risk of adverse effects on human health and the environment in connection with emer...
Статья посвящена решению научной проблемы поддержки принятия решений попредупреждению и ликвидации последствий чрезвычайных ситуаций (ЧС) на основе реше-ния задачи структурирования информации. Актуальность данной задачи обусловлена не-обходимостью развития теоретических основ оптимизации риска возникновения неблаго-приятных воздействий на здоровье...
In this paper, we consider an algorithm for emergency decision-making in fuzzy intuitionistic environment. To transport the maximum number of aggrieved from the dangerous area to the safe destination, a dynamic flow model with transit arc capacities is constructed. The intermediate nodes of the network can store the flow in order for the flow to be...
The problem of choosing places for evacuation centers is considered in this paper. We consider the case when the territory model is represented by an intuitionistic fuzzy graph. To solve this problem, the concept of a minimal antibase of such graph is introduced, and on its basis, the concept of an antibase set as an invariant of this graph is intr...
The article aims to present an approach to evacuation according to maximum dynamic scenario by modelling a fuzzy transportation network with partial lane reversal. The relevance of research is postulated by significant damage caused by disasters to ecology, life, health, economy etc. In this work, we tackle fuzzy transportation with transit paramet...
Анализ тональности или мнений направлен на определение полярности мнения людейв отношении к какому-либо продукту, услуге, мероприятию или любому человеку. Один изсамых распространенных методов, применяемый при анализе тональности текстовогоконтента – обработка естественного языка. Тональность текста на естественном язы-ке может быть оценена с помощ...
Речь идет о стихийных бедствиях, таких как наводнение, которые можно спрогнозиро-вать за несколько часов до того, как они произойдут, чтобы можно было организовать эвакуа-цию населения. Эвакуация означает, что люди в районах бедствия должны покинуть эти рай-оны и добраться до укрытий или убежищ. Представлен анализ процесса принятия решения обэвакуа...
Fuzzy logic is a modern tool which can be used to deal with uncertainty inherent in evacuation emergency tasks. During evacuation, the main goal is to transport the maximum amount of aggrieved from the hazardous area to the secure shelter, considering arc capacities and dynamic flows. In most cases, evacuation tasks do not consider storage at inter...
Emergency evacuation modelling is a topical issue, which has attracted increasing interest over the last years. Today, flow theory-based approaches to macroscopic evacuation enable researchers to find a solution to optimization problems, considering aggrieved as a homogeneous mass. The main difficulty in constructing evacuation scenarios is the nee...
Nowadays, various emergencies that are human-made or natural occur widely and threaten people’ lives and health. One of the most important evacuation tasks is the minimum cost lexicographic flow modelling task, which allows aggrieved to be transported to safe areas along the optimal transportation routes, taking into account the priority of shelter...
The article discusses topical issues and analyzes the problems related to the problem of packing blocks of different sizes in the metric of binary space to solve the problem of optimal placement of two-dimensional objects on the cutting map in order to minimize the cost of cutting them. To solve this kind of problems, it is necessary to resort to t...
Currently, the tasks of emergency evacuation based on the flow theory have been studying extensively due to the increasing number of emergency situations, natural disasters, fires, terrorist attacks and other phenomena. However, the main issue of the evacuation simulation is the necessity to tackle dynamic environmental factors, such as road capaci...
Present paper deals with the minimum cost flow finding task with fuzzy trapezoidal intuitionistic values of arc capacities and costs. Nowadays, flow tasks in networks are leading tasks in flow modelling and urban logistics. Peculiarity of the problem is in optimal paths finding, which allows decreasing the total cost of transportation and choosing...
The paper investigates the pattern recognition task as one of the most important transcomputational problems. Pattern recognition is applied for statistical data analysis, signal processing, image analysis, bioinformatics, machine learning, and many other fields. The area of application is related to automated pattern detection in the data using co...
В этой работе исследуется влияние возраста и пола при анализе тональности отзы-вов, поскольку эти данные могут помочь ретейлерам электронной коммерции увеличитьпродажи, ориентируясь на определенные демографические группы, а также увеличитьудовлетворение потребностей людей разных возрастных и гендерных групп. Используемыйнабор данных сформирован пут...
Данная статья посвящена разработке алгоритма решения задачи моделирования час-тично реверсивного потока минимальной стоимости в нечеткой транспортной сети. Задачанахождения потока минимальной стоимости является центральной задачей при планированииперевозок и эвакуационном моделировании. Актуальность такого рода задач обусловлена необ-ходимостью пои...
Tasks of emergency evacuation planning on dynamic networks in fuzzy conditions are becoming ubiquitous because of the imprecise time-dependent nature and arguments of network. Underlying basis for evacuation tasks are different types of flow algorithms. The paper aims to present the urgent problem of artificial intelligence, namely, the development...
The paper illustrates the method of the maximum flow value finding in a fuzzy weighted directed graph, which presented as a generalized network. The interest to such type of networks is explained by their wide practical implementation: they can deal with water distribution, money conversion, transportation of perishable goods or goods that can incr...
This paper is devoted to the task of the two-commodity maximum flow finding in a fuzzy temporal graph. Arcs of the network are assigned by the fuzzy arc capacities and crisp transit times. All network’s parameters can vary over time, therefore, it allows to consider network as dynamic one. The task is to maximize total flow passing through the netw...
An algorithm is presented to determine the minimum cost flow in a fuzzy network taking into account vitality degree. Algorithm consists in iteratively finding the paths of the minimum cost with vitality degrees no less than required one and pushing the flows along these paths. Network’s parameters are presented in a fuzzy form due to the impact of...
The problems of the maximum and the minimum cost flow finding with zero and nonzero lower flow bounds are relevant, since they allow solving the problems of economic planning, logistics, transportation management, etc. In the area of transportation networks flow tasks enable to find the cargo transportation of the maximum volume between given point...
The flow tasks arising in the study of transportation networks are relevant due to their wide practical application.
Tasks, considered in the first chapter of the present book, assume instant flow transition along the arcs of the graph. The present paper deals with dynamic networks, i.e. such a networks, in which flow spends certain time passing along the arcs of the graph. These problems arise in planning of transportation, economic planning, construction and ev...
Practical implementation of the proposed flow algorithms in fuzzy conditions is considered with solving the certain logistics tasks and tasks of analysis on the network of Russian Federation, that reflected in the proposed software complex that realizes solving of proposed flow algorithms.
The following chapter deals with the problems of the sustainable transportation
network from the geographic information systems for intelligent control. For this we developed the dynamic geoinformation model
with temporal dependence of the parameters and the procedural model of routing
with temporal dependence and fuzzy given distance and time. The...
In this chapter questions of defining of service centers optimum allocation in transportation network are observed. It is supposed that transportation
network is described by a fuzzy graph. In this case a task of definition of optimum allocation of the service centers can be transformed into the task of definition of base fuzzy set
, antibase fuzzy...
This book offers a comprehensive introduction to fuzzy methods for solving flow tasks in both transportation and networks. It analyzes the problems of minimum cost and maximum flow finding with fuzzy nonzero lower flow bounds, and describes solutions to minimum cost flow finding in a network with fuzzy arc capacities and transmission costs. After a...
In this paper the method for the minimum cost flow determining in fuzzy dynamic network with nonzero lower flow bounds is proposed. Considered method takes into account fuzzy nature of networks’ parameters and deals with fuzzy arc flow bounds, fuzzy transmission costs. Fuzzy arc flow bounds, costs and transit times can vary depending on the flow de...
The following chapter deals with flow problems in transportation networks in terms of fuzziness. Literature review considering flows and basic problem statements is given. The task of maximum flow finding in transportation network with lower flow bounds in fuzzy conditions is described and solved. The necessity of considering dynamic transportation...
The present paper examines the task of minimum cost flow finding in a fuzzy dynamic network with lower flow bounds. The distinguishing feature of this problem statement lies in the fuzzy nature of the network parameters, such as flow bounds, transmission costs and transit times. The arcs of the considered network have lower bounds. Another feature...
This article considers the problems of maximum flow and minimum cost flow determining in fuzzy network. Parameters of fuzzy networks are fuzzy arc capacities in the case of maximum flow finding and transmission costs of one flow unit in the case of minimum cost flow finding. These parameters are represented as fuzzy triangular numbers. Conventional...
This article considers the problems of maximum flow and minimum cost flow determining in fuzzy network. Parameters of fuzzy network are fuzzy arc capacities and transmission costs of one flow unit represented as fuzzy triangular numbers. Conventional rules of operating with fuzzy triangular numbers lead to a strong "blurring" of their borders, resu...