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Tytuł:
Development of technology for obtaining water-soluble bacterial melanin and determination of some of pigment properties
Autorzy:
Aghajanyan, A.E.
Vardanyan, A.A.
Hovsepyan, A.C.
Hambardzumyan, A.A.
Filipenia, V.
Saghyan, A.C.
Powiązania:
https://bibliotekanauki.pl/articles/80261.pdf
Data publikacji:
2017
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
melanin
fermentation process
aeration
process optimization
sorption
dilution
pigment property
Źródło:
BioTechnologia. Journal of Biotechnology Computational Biology and Bionanotechnology; 2017, 98, 4
0860-7796
Pojawia się w:
BioTechnologia. Journal of Biotechnology Computational Biology and Bionanotechnology
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Growth optimization of Klebsiella pneumoniae in magnetically assisted bioreactor
Autorzy:
Konopacki, Maciej
Augustyniak, Adrian
Grygorcewicz, Bartłomiej
Dołęgowska, Barbara
Kordas, Marian
Rakoczy, Rafał
Powiązania:
https://bibliotekanauki.pl/articles/2202874.pdf
Data publikacji:
2022
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
bacteria cultivation
growth kinetics
optimization process
magnetically assisted bioreactor
hodowla bakterii
kinetyka wzrostu
proces optymalizacji
bioreaktor wspomagany magnetycznie
Opis:
In recent years, infections are more often caused by pathogens with high multi-drug resistance, classified as the “ESKAPE” microorganisms. Therefore, investigation of these pathogens, e.g., Klebsiella pneumoniae, often requires biomass production for treatment testing such as antibiotics or bacteriophages. Moreover, K. pneumoniae can be successfully applied as a biocatalyst for other industrial applications, increasing the need for this bacteria biomass. In the current study, we proposed a novel magnetically assisted bioreactor for the cultivation of K. pneumoniae cells in the presence of an external alternating magnetic field (AMF). High efficiency of the production requires optimal bacteria growth conditions, e.g., temperature and field frequency. Therefore, we performed an optimization procedure using a central composite design for these two parameters in a wide range. As an objective function, we utilized a novel, previously described growth factor that considers both biomass and bacteria growth kinetics. Thus, based on the response surface, we could specify the optimal growth conditions. Moreover, we analysed the impact of the AMF on bacteria proliferation, which indicated positive field frequency windows, where the highest stimulatory effect of AMF on bacteria proliferation occurred. Obtained results proved that the magnetically assisted bioreactor could be successfully employed for K. pneumoniae cultivation.
Źródło:
Chemical and Process Engineering; 2022, 43, 3; 289--304
0208-6425
2300-1925
Pojawia się w:
Chemical and Process Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Simulation of Air Entrapment and Resin Curing during Manufacturing of Composite Cab Front by Resin Transfer Moulding Process
Autorzy:
Raghu Raja Pandiyan, K.
Neogi, S.
Powiązania:
https://bibliotekanauki.pl/articles/354935.pdf
Data publikacji:
2017
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
resin transfer moulding
mould filling simulations
air entrapment
resin curing
process optimization
Opis:
Mould filling and subsequent curing are the significant processing stages involved in the production of a composite component through Resin Transfer Moulding (RTM) fabrication technique. Dry spot formation and air entrapment during filling stage caused by improper design of filling conditions and locations that lead to undesired filling patterns resulting in defective RTM parts. Proper placement of inlet ports and exit vents as well as by adjustment of filling conditions can alleviate the problems during the mould filling stage. The temperature profile used to polymerize the resin must be carefully chosen to reduce the cure time. Instead of trial and error methods that are expensive, time consuming, and non-optimal, we propose a simulation-based optimization strategy for a composite cab front component to reduce the air entrapment and cure stage optimization. In order to be effective, the optimization strategy requires an accurate simulation of the process utilizing submodels to describe the raw material characteristics. Cure reaction kinetics and chemo-rheology were the submodels developed empirically for an unsaturated polyester resin using experimental data. The simulations were performed using commercial software PAM RTM 2008, developed by ESI Technologies. Simulation results show that the use of increase in injection pressure at the inlet filling conditions greatly reduce the air entrapped. For the cab front, the alteration of injection pressure with proper timing of vent opening reduced the air entrapped during mould filling stage. Similarly, the curing simulation results show that the use of higher mould temperatures effectively decreases the cure time as expected.
Źródło:
Archives of Metallurgy and Materials; 2017, 62, 3; 1839-1844
1733-3490
Pojawia się w:
Archives of Metallurgy and Materials
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Application of lean methods – a business game study in German companies
Autorzy:
Poetters, Patrick
Schmitt, Robert
Leyendecker, Bert
Powiązania:
https://bibliotekanauki.pl/articles/406774.pdf
Data publikacji:
2020
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
lean method
business game
process optimization
two proportions test
paired t-test
Opis:
Production companies face the challenge of choosing a suitable process optimization method from a variety of methods, even though their effect on operational processes is uncertain. This study shows, using a statistical hypothesis test, the impact of the methods Kanban and Standard Worksheet on an autonomous team in comparison to a team that applies these methods. For this purpose, 44 companies – of different size and operating in various industries – across Germany completed a business game and generated data regarding the KPIs adherence to delivery date, number of reworks and inventory costs. Based on these data, the team’s performance could be ascertained and compared with each other.
Źródło:
Management and Production Engineering Review; 2020, 11, 2; 3-10
2080-8208
2082-1344
Pojawia się w:
Management and Production Engineering Review
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Optimization of periodic maintenance for wind turbines based on stochastic degradation model
Autorzy:
Su, Hongsheng
Duan, Xuping
Wang, Dantong
Powiązania:
https://bibliotekanauki.pl/articles/1841210.pdf
Data publikacji:
2021
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
availability
maintenance optimization
stochastic diferential equation
update process
wind turbine
Opis:
The degradation process of wind turbines is greatly affected by external factors. Wind turbine maintenance costs are high. The regular maintenance of wind turbines can easily lead to over and insufficient maintenance. To solve the above problems, a stochastic degradation model (SDE, stochastic differential equation) is proposed to simulate the change of the state of the wind turbine. First, the average degradation trend is obtained by analyzing the properties of the stochastic degradation model. Then the average degradation model is used to describe the predictive degradation model. Then analyze the change trend between the actual degradation state and the predicted state of the wind turbine. Secondly, according to the update process theory, the effect of maintenance on the state of wind turbines is comprehensively analyzed to obtain the availability. Then based on the average degradation process, the optimal maintenance period of the wind turbine is obtained. The optimal maintenance time of wind turbines is obtained by optimizing the maintenance cycle through availability constraints. Finally, an onshore wind turbine is used as an example to verification. Based on the historical fault data of wind turbines, the optimized maintenance decision is obtained by analyzing the reliability and maintenance cost of wind turbines under periodic and non-equal cycle conditions. The research results show that maintenance based on this model can effectively improve the performance of wind turbines and reduce maintenance costs.
Źródło:
Archives of Electrical Engineering; 2021, 70, 3; 585-599
1427-4221
2300-2506
Pojawia się w:
Archives of Electrical Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Design optimization of the Petri net-based production process supported by additive manufacturing technologies
Autorzy:
Patalas-Maliszewska, Justyna
Wiśniewski, Remigiusz
Topczak, Marcin
Wojnakowski, Marcin
Powiązania:
https://bibliotekanauki.pl/articles/2173645.pdf
Data publikacji:
2022
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
additive manufacturing technology
manufacturing processes
Petri nets
process modelling
verification
validation
optimization of production process supported by AM technologies
technologia wytwarzania przyrostowego
proces produkcji
sieci Petriego
modelowanie procesów
weryfikacja
walidacja
optymalizacja procesu produkcyjnego wspierana technologiami AM
Opis:
In the era of smart manufacturing and Industry 4.0, the rapid development of modelling in production processes results in the implementation of new techniques, such as additive manufacturing (AM) technologies. However, large investments in the devices in the field of AM technologies require prior analysis to identify the possibilities of improving the production process flow. This paper proposes a new approach to determine and optimize the production process flow with improvements made by the AM technologies through the application of the Petri net theory. The existing production process is specified by a Petri net model and optimized by AM technology. The modified version of the system is verified and validated by the set of analytic methods safeguarding against the formal errors, deadlocks, or unreachable states. The proposed idea is illustrated by an example of a real-life production process.
Źródło:
Bulletin of the Polish Academy of Sciences. Technical Sciences; 2022, 70, 2; art. no. e140693
0239-7528
Pojawia się w:
Bulletin of the Polish Academy of Sciences. Technical Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
The concept of genetic programming in organizing internal transport processes
Autorzy:
Lewczuk, K.
Powiązania:
https://bibliotekanauki.pl/articles/223845.pdf
Data publikacji:
2015
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
scheduling
internal transport process
optimization
genetic algorithm
transport wewnętrzny
optymalizacja
programowanie genetyczne
Opis:
The paper presents proposition of using genetic algorithm to support organization of internal transport processes in logistics facilities. The organization of internal transport can be done through solving optimization task of scheduling internal transport process with allocation of human resources and equipment to the tasks. Internal transport process was defined and discussed as an object of organization. Precise methods of solving proposed optimization task were unable to give useful solutions according to the computational complexity of the problem, so heuristic genetic algorithm was proposed. The possible structures of chromosome representing feasible solutions, methods of generating initial population, base genetic operators: selection and inheritance, crossover, mutation and fixing of individuals were described. The main implementation difficulties, computational experiments and the scope of application of the algorithm were discussed.
Źródło:
Archives of Transport; 2015, 34, 2; 61-74
0866-9546
2300-8830
Pojawia się w:
Archives of Transport
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Feasibility study of forced cooling of a supercritical steam turbine after a shut down of a power generating unit
Autorzy:
Kosman, W.
Powiązania:
https://bibliotekanauki.pl/articles/240243.pdf
Data publikacji:
2011
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
optymalizacja
proces przejściowy
turbina parowa
optimization
stresses
supercritical steam turbine
transient process
Opis:
Temperature related decrease of steam turbine components is one of the main transient processes that occur during a typical long-term operation. With a natural cooling (no user interference) it takes more than 14 days before the temperature of components reaches the level that allows to open and repair a turbine. It is then reasonable to apply a forced cooling in order to decrease the time between a shut-down of a power generating unit and a beginning of a repair. This paper presents the analysis of application of a forced cooling process to supercritical steam turbines. The main problems under the investigation are the safety issues of the process and the optimization of cooling conditions. The paper describes the safety restrictions and the optimization criteria. The process is analyzed in numerical simulations conducted for various cooling conditions.
Źródło:
Archives of Thermodynamics; 2011, 32, 3; 201-214
1231-0956
2083-6023
Pojawia się w:
Archives of Thermodynamics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A Performance Study on Synchronous and Asynchronous Update Rules for A Plug-In Direct Particle Swarm Repetitive Controller
Autorzy:
Ufnalski, B.
Grzesiak, L. M.
Powiązania:
https://bibliotekanauki.pl/articles/141272.pdf
Data publikacji:
2014
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
repetitive process control
particle swarm optimization (PSO)
synchronous and asynchronous update rules
dynamic optimization problem
repetitive disturbance rejection
optimal control
Opis:
In this paper two different update schemes for the recently developed plug-in direct particle swarm repetitive controller (PDPSRC) are investigated and compared. The proposed approach employs the particle swarm optimizer (PSO) to solve in on-line mode a dynamic optimization problem (DOP) related to the control task in the constant-amplitude constant-frequency voltage-source inverter (CACF VSI) with an LC output filter. The effectiveness of synchronous and asynchronous update rules, both commonly used in static optimization problems (SOPs), is assessed and compared in the case of PDPSRC. The performance of the controller, when synthesized using each of the update schemes, is studied numerically.
Źródło:
Archives of Electrical Engineering; 2014, 63, 4; 635-646
1427-4221
2300-2506
Pojawia się w:
Archives of Electrical Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Implementation of logic flow in planning and production control
Autorzy:
Ulewicz, R.
Jelonek, D.
Mazur, M.
Powiązania:
https://bibliotekanauki.pl/articles/407036.pdf
Data publikacji:
2016
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
process identification
production system
lean manufacturing
Glenday’s sieve method
structural optimization
work organization
Opis:
The article presents the results of analysis, the use of continuous flow of logic at the stage of production planning and control of the company producing furniture. The concept of continuous flow tends to regulate the flow of materials in a manner that provides the shortest flow path without unnecessary activities (Muda is a Japanese word meaning waste), a constant takt and defined throughput at constant resource requirements for the so-called transfer of material through the whole process. In the study Glenday’d sieve method was used to identify the correct area, which requires the value stream mapping, and areas called excessive complexity, which do not provide added value. The use of Glenday’s sieve method made it possible to identify areas in which it must be improve production capacity.
Źródło:
Management and Production Engineering Review; 2016, 7, 1; 89-94
2080-8208
2082-1344
Pojawia się w:
Management and Production Engineering Review
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Multi-Objective Optimization of Squeeze Casting Process using Genetic Algorithm and Particle Swarm Optimization
Autorzy:
Patel, G. C. M.
Krishna, P.
Vundavilli, P. R.
Parappagoudar, M. B.
Powiązania:
https://bibliotekanauki.pl/articles/379601.pdf
Data publikacji:
2016
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
squeeze casting process
multi-objective optimization
genetic algorithm
squeeze casting
prasowanie stopu
optymalizacja wielokryterialna
algorytm genetyczny
Opis:
The near net shaped manufacturing ability of squeeze casting process requiresto set the process variable combinations at their optimal levels to obtain both aesthetic appearance and internal soundness of the cast parts. The aesthetic and internal soundness of cast parts deal with surface roughness and tensile strength those can readily put the part in service without the requirement of costly secondary manufacturing processes (like polishing, shot blasting, plating, hear treatment etc.). It is difficult to determine the levels of the process variable (that is, pressure duration, squeeze pressure, pouring temperature and die temperature) combinations for extreme values of the responses (that is, surface roughness, yield strength and ultimate tensile strength) due to conflicting requirements. In the present manuscript, three population based search and optimization methods, namely genetic algorithm (GA), particle swarm optimization (PSO) and multi-objective particle swarm optimization based on crowding distance (MOPSO-CD) methods have been used to optimize multiple outputs simultaneously. Further, validation test has been conducted for the optimal casting conditions suggested by GA, PSO and MOPSO-CD. The results showed that PSO outperformed GA with regard to computation time.
Źródło:
Archives of Foundry Engineering; 2016, 16, 3; 172-186
1897-3310
2299-2944
Pojawia się w:
Archives of Foundry Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Optimal production of electrolytic copper determined by the concentration and distribution of copper concentrates to smelters on the example of KGHM
Optymalizacja produkcji miedzi elektrolitycznej poprzez system wzbogacania i dystrybucji koncentratów do hut na przykładzie KGHM
Autorzy:
Saramak, D.
Powiązania:
https://bibliotekanauki.pl/articles/351479.pdf
Data publikacji:
2011
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
optymalizacja
strategia produkcji miedzi
programowanie nieliniowe
sterowanie
modelowanie
optimization
copper production strategy
nonlinear programming
process control
modelling
Opis:
The issues of copper production strategy for the Polish copper industry are presented in the article. The problem is considered within the scope of the ore extraction, ore concentration and metallurgical processing of the copper concentrate and the main aim is to produce the specific amount of copper, which generates maximum technological and economic benefits. In order to determine the strategy of production for a company an optimisation approach may be applied with the target function defined as either the maximization of metal recovery or the maximization of profit. The real operating conditions are implemented into the model, together with existing limitation resulting from the concentration technology and metallurgical treatment. The problem verification was possible with using of non-linear programming theory. Two variants were considered: the first for lower production costs, and the second for low stock market prices. The presented optimal strategies determine the copper grades of concentrates as well as the system of concentrates distribution between three smelters. Generally smelters should receive concentrates with higher copper grades for low stock market metal prices and for low processing costs the mass of concentrates delivered to smelters should be higher together with decreased the copper grades.
W pracy przedstawiono zagadnienia dotyczące strategii produkcji miedzi elektrolitycznej dla polskich warunków produkcji miedzi w układzie kopalnia-zakład przeróbczy-huta miedzi. Problem jest rozpatrywany głównie z punktu widzenia hut miedzi, ale determinowany jest jakością i ilością koncentratów miedziowych wyprodukowanych przez zakłady przeróbcze. Celem jest osiągniecie maksymalnych efektów technologicznych i ekonomicznych. Podejście optymalizacyjne zakłada zbudowanie odpowiedniego modelu ekonometrycznego z funkcja celu zdefiniowaną jako maksymalny odzysk metalu oraz uwzględnieniem istniejących realnych ograniczeń technologicznych Weryfikacja modelu jest możliwa z wykorzystaniem oprogramowania działającego w oparciu o teorię programowania nielinowego. W artykule przedstawiono analizę dla dwóch wariantów produkcji miedzi: niskich kosztów produkcyjnych oraz niskich cen giełdowych miedzi. Aby maksymalizować funkcję celu w zaprezentowanym modelu, w okresie niskich cen produkcji huty powinny otrzymywać mniej koncentratów o wyższej zawartości miedzi, natomiast przy niskich giełdowych cenach miedzi, huty powinny przerabiać większe ilości koncentratu o zmniejszonej zawartości miedzi.
Źródło:
Archives of Metallurgy and Materials; 2011, 56, 3; 619-626
1733-3490
Pojawia się w:
Archives of Metallurgy and Materials
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Multicriteria optimization of manufacturing processes of the rotors to open end spinning machine
Wielokryterialna optymalizacja procesów wytwarzania wirnika przędzarki bezwrzecionowej
Autorzy:
Lorek, R.
Płonka, S.
Powiązania:
https://bibliotekanauki.pl/articles/175720.pdf
Data publikacji:
2013
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
manufacturing process
optimization
multicriteria optimization
manufacturing cost
open end spinning machine
rotor
product quality
proces wytwarzania
optymalizacja
optymalizacja wielokryterialna
koszt wytwarzania
przędzarka bezwrzecionowa
wirnik
jakość wyrobu
Opis:
The paper presents Pareto-optimum method and POLOPT computer program enabling, with the use of principle of conversation with computer, assessment of solutions (variants) in the view of two or more criteria (up to 10). The Pareto-optimal set is univariate in a few cases only, and therefore, in remaining cases to selection of the best solution from this set one proposed the distance function. The chosen procedure of the multicriteria optimization was tested on the example of selection of the best variant of the manufacturing process of rotors to the open end spinning machine.
W artykule przedstawiono metodę optimum w sensie Pareto oraz program POLOPT umożliwiający, na zasadzie konwersacji z komputerem, ocenę rozwiązań (wariantów) z uwzględnieniem liczby 2 i większej kryteriów (do 10). Zbiór Pareto-optymalny tylko dla kilku przypadków jest jednowariantowy. Dlatego w pozostałych przypadkach do wyboru rozwiązania najlepszego z tego zbioru zaproponowano funkcję dystansową. Opracowaną procedurę optymalizacji wielokryterialnej poddano weryfikacji w procesie doboru najlepszego wariantu wytwarzania wirnika przędzarki bezwrzecionowej.
Źródło:
Advances in Manufacturing Science and Technology; 2013, 37, 1; 55-68
0137-4478
Pojawia się w:
Advances in Manufacturing Science and Technology
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
The initial prototype BIM system for the optimization of integrated construction processes
Autorzy:
Kontrimovičius, Robertas
Ustinovičius, Leonas
Miedziałowski, Czesław
Vaišnoras, Mantas
Powiązania:
https://bibliotekanauki.pl/articles/2174016.pdf
Data publikacji:
2022
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
modelowanie informacji o budynku
zarządzanie budową
rzeczywistość rozszerzona
proces budowy
proces zintegrowany
model matematyczny
optymalizacja
building information modelling
construction management
extended reality
integrated process
construction process
mathematical model
optimization
Opis:
It is often spoken and written about the use and benefits of BIM in the design, build, and exploitation phases. Based on an extensive analysis of scientific articles and practice, it has been noticed that, however, there is no comprehensive solution for the use of BIM at the stage of preparation for construction. And there is no relevant approach to the organization of construction though various software offers availability to calculate separate processes that are important for the organization of it. For example, based on the BIM model, determine the optimal place for the tower crane. But the problem is that such a local solution does not represent a comprehensive approach and does not represent apprehensive construction planning. It means, currently there is no method of planning, which will answer the questions: whether to choose a tower crane or a truck crane, where is the optimal place for unloading construction materials, considering the location of the crane, etc. Therefore, this article presents the vision and strategy of BIM development at the construction stage. The problem that should be solved now is the creation the strategy that will allow to improve the efficiency of construction works, adjusting them to the current situation in an optimal way. Therefore, the aim of the article is to combine separate ideas of BIM using in construction management as a whole and call scientists to discuss and supplement the topics of using BIM in construction management.
Źródło:
Archives of Civil Engineering; 2022, 68, 3; 617--631
1230-2945
Pojawia się w:
Archives of Civil Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Travel management optimization based on air pollution condition using Markov decision process and genetic algorithm (case study: Shiraz city)
Autorzy:
Bagheri, Mohammad
Ghafourian, Hossein
Kashefiolasl, Morteza
Pour, Mohammad Taghi Sadati
Rabbani, Mohammad
Powiązania:
https://bibliotekanauki.pl/articles/223520.pdf
Data publikacji:
2020
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
air pollution
dynamic optimization
genetic algorithm
Markov decision-making process
zarządzanie transportem
optymalizacja
zanieczyszczenie powietrza
algorytm genetyczny
proces decyzyjny Markowa
Opis:
Currently, air pollution and energy consumption are the main issues in the transportation area in large urban cities. In these cities, most people choose their transportation mode according to corresponding utility including traveller's and trip’s characteristics. Also, there is no effective solution in terms of population growth, urban space, and transportation demands, so it is essential to optimize systematically travel demands in the real network of roads in urban areas, especially in congested areas. Travel Demand Management (TDM) is one of the well-known ways to solve these problems. TDM defined as a strategy that aims to maximize the efficiency of the urban transport system by granting certain privileges for public transportation modes, Enforcement on the private car traffic prohibition in specific places or times, increase in the cost of using certain facilities like parking in congested areas. Network pricing is one of the most effective methods of managing transportation demands for reducing traffic and controlling air pollution especially in the crowded parts of downtown. A little paper may exist that optimize urban transportations in busy parts of cities with combined Markov decision making processes with reward and evolutionary-based algorithms and simultaneously considering customers’ and trip’s characteristics. Therefore, we present a new network traffic management for urban cities that optimizes a multi-objective function that related to the expected value of the Markov decision system’s reward using the Genetic Algorithm. The planned Shiraz city is taken as a benchmark for evaluating the performance of the proposed approach. At first, an analysis is also performed on the impact of the toll levels on the variation of the user and operator cost components, respectively. After choosing suitable values for the network parameters, simulation of the Markov decision process and GA is dynamically performed, then the optimal decision for the Markov decision process in terms of total reward is obtained. The results illustrate that the proposed cordon pricing has significant improvement in performance for all seasons including spring, autumn, and winter.
Źródło:
Archives of Transport; 2020, 53, 1; 89-102
0866-9546
2300-8830
Pojawia się w:
Archives of Transport
Dostawca treści:
Biblioteka Nauki
Artykuł
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