Temat: optymalizacja sieci - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Bicriteria models of vehicles recycling network facility location
Dwukryterialne modele lokalizacji przedsiębiorstw sieci recyklingu pojazdów
Autorzy:: Merkisz-Guranowska, A.
Powiązania:: https://bibliotekanauki.pl/articles/224169.pdf
Data publikacji:: 2012
Wydawca:: Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:: modelowanie sieci recyklingu
recykling pojazdów samochodowych
sieć recyklingu pojazdów
optymalizacja
recycling network
vehicles recycling
optimization
Opis:: The paper presents the issues related to modeling of a vehicle recycling network. The functioning of the recycling network is within the realm of interest of a variety of government agendas, companies participating in the network, vehicle manufacturers and vehicle end users. The interests of these groups need to be considered when deciding about the network organization. The paper presents bicriteria models of network entity location that take into account the preferences of the vehicle owners and network participants related to the network construction and reorganization. A mathematical formulation of the optimization tasks has been presented including the objective functions and limitations that the solutions have to comply with. Then, the models were used for the network optimization in Poland.
W artykule przedstawiono zagadnienia modelowania sieci recyklingu pojazdów samochodowych. Funkcjonowaniem sieci recyklingu zainteresowane są różne podmioty od administracji państwowej, przez przedsiębiorstwa uczestniczące w sieci, producentów samochodów po właścicieli pojazdów. Interesy tych grup należy uwzględnić przy podejmowaniu decyzji dotyczących organizacji sieci. W artykule przedstawiono dwukryterialne modele lokalizacji podmiotów sieci uwzględniające preferencje właścicieli pojazdów i uczestników sieci służące do budowy i przebudowy sieci recyklingu. Przedstawiono sformułowanie matematyczne zadań optymalizacyjnych, ograniczenia, które muszą spełniać rozwiązania oraz funkcję kryterium. Następnie modele zostały zastosowane do optymalizacji sieci recyklingu w Polsce.
Źródło:: Archives of Transport; 2012, 24, 2; 187-202
0866-9546
2300-8830
Pojawia się w:: Archives of Transport
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: Machine learning algorithms for the problem of optimizing the distribution of parcels in time-dependent networks: the case study
Autorzy:: Tarapata, Zbigniew
Kulas, Wojciech
Antkiewicz, Ryszard
Powiązania:: https://bibliotekanauki.pl/articles/2124716.pdf
Data publikacji:: 2022
Wydawca:: Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:: parcel distribution
optimization
machine learning algorithms
time-dependent networks
dystrybucja przesyłek
optymalizacja
algorytmy uczenia maszynowego
sieci zależne czasowo
Opis:: In the paper we present machine learning algorithms for the problem of optimizing the distribution of parcels in stochastic time-dependent networks, which have been built as a part of some Distribution Optimization System. The problem solved was a modified VRPTW (Vehicle Routing Problem with Time Windows) with many warehouses, a heterogeneous fleet, travel times depending on the time of departure (stochastic time-dependent network) and an extensive cost function as an optimization criterion. To solve the problem a modified simulated annealing (SATM) algorithm has been proposed. The paper presents the results of the algorithm learning process: the calibration of input parameters and the study of the impact of parameters on the quality of the solution (calculation time, transport cost function value) depending on the type of input data. The idea is to divide the input data into classes according to a proposed classification rule and to propose several strategies for selecting the optimal set of calibration parameters. These strategies consist in solving some multi-criteria optimization tasks in which four criterion functions are used: the length of the designated routes, the computation time, the number of epochs used in the algorithm, the number of designated routes. The subproblem was building a network model of travel times that is used in constructed SATM algorithm to determine the travel time between recipients, depending on the time of departure from the start location. An attempt has been made to verify the research hypothesis that the time between two points can be estimated with sufficient accuracy depending on their geographical location and the time of departure (without reference to the micro-scale, i.e. the detailed structure of the road network). The research was conducted on two types of data for Warsaw: from transport companies and one of the Internet traffic data providers. Learning the network model of travel times has produced very promising results, which will be described in the paper.
Źródło:: Archives of Transport; 2022, 61, 1; 133--147
0866-9546
2300-8830
Pojawia się w:: Archives of Transport
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 3.

Tytuł:: Optimizations of network layout and transport service frequencies in view of interests of transit line operators and utilizers
Autorzy:: Zhu, Xiaojing
Feng, Xuesong
Zhang, Lukai
Hua, Weixin
Powiązania:: https://bibliotekanauki.pl/articles/223857.pdf
Data publikacji:: 2019
Wydawca:: Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:: transit network layout design
transportation service
service optimization
interests of transit line operators
interests of utilizers
simulated annealing algorithm
genetic algorithm
projekt układu sieci transportowej
usługi transportowe
optymalizacja usług
interesy operatorów linii tranzytowych
interes użytkowników
algorytm genetyczny
Opis:: Layouts of bus networks in cities are always irrational currently, transport service frequencies also need to be optimized according to the real network layouts, operation conditions and travel experience of passengers, so it is essential to optimize bus transit network layouts and transport service frequencies systematically. Different stakeholders are involved in the optimization of urban bus transit network layouts like the government, operators and passengers, whose interests are always contradictory. In order to optimize transit network layout and service frequencies from the view point of operators and utilizers, this research constructs a multi-objective model and proposes a solution algorithm. The proposed multi-objective model is established from the perspective of operators with the goal of minimizing total operating costs for one day, and from the perspective of the utilizers to minimize the total travel time, respectively. Also with the application of electric bus in cities, buses in this research are electric buses all for green travel. Moreover, a solution algorithm is proposed in this research to solve the proposed multi-objective model with simulated annealing algorithm and genetic algorithm. Simulated annealing algorithm is used as the main framework of the solution algorithm from the perspective of operators to minimize operating costs, while genetic algorithm is used as the subroutine of simulated annealing algorithm to optimize total travel time. Verification of the proposed model and the solution algorithm is based on an intuitive network. The application results of a numerical experiment verified that the proposed optimization model and the solution algorithm are able to optimize the network layout and service frequencies at the same time.
Źródło:: Archives of Transport; 2019, 50, 2; 47-55
0866-9546
2300-8830
Pojawia się w:: Archives of Transport
Dostawca treści:: Biblioteka Nauki

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