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Wyszukujesz frazę "multi-objective model" wg kryterium: Temat

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    Wyświetlanie 1-6 z 6
    Tytuł:
    Multiobjective optimization of multipass turning machining process using the Genetic Algorithms solution
    Autorzy:
    Amiolemhen, Patrick Ejebheare
    Eseigbe, Joshua Ahurome
    Powiązania:
    https://bibliotekanauki.pl/articles/95335.pdf
    Data publikacji:
    2019
    Wydawca:
    Politechnika Koszalińska. Wydawnictwo Uczelniane
    Tematy:
    turning process
    genetic algorithms
    minimum production cost
    minimum production time
    single-objective model
    multi-objective model
    toczenie
    proces toczenia
    algorytmy genetyczne
    minimalny koszt produkcji
    minimalny czas produkcji
    model wielokryterialny
    Opis:
    The study involves the development of multi-objective optimization model for turning machining process. This model was developed using a GA - based weighted-sum of minimum production cost and time criteria of multipass turning machining process subject to relevant technological/practical constraints. The results of the single-objective machining process optimization models for the multipass turning machining process when compared with those of multi-objective machining process model yielded the minimum production cost and minimum production time as $5.775 and 8.320 min respectively (and the corresponding production time and production cost as 12.996 min and $6.992, respectively), while those of the multi-objective machining process optimization model were $5.841and 9.097 min. Thus, the multi-objective machining process optimization model performed better than each of the single-objective model for the two criteria of minimum production cost and minimum production time respectively. The results also show that minimum production time model performs better than the minimum production cost model. For the example considered, the multi-objective model gave a lower production time of 30.0% than the corresponding production time obtained from the minimum production cost model, while it gave a lower production cost of 16.46% than the corresponding cost obtained by the minimum production time model.
    Źródło:
    Journal of Mechanical and Energy Engineering; 2019, 3, 2; 97-108
    2544-0780
    2544-1671
    Pojawia się w:
    Journal of Mechanical and Energy Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    An algorithm for quadratically constrained multi-objective quadratic fractional programming with pentagonal fuzzy numbers
    Autorzy:
    Goyal, Vandana
    Rani, Namrata
    Gupta, Deepak
    Powiązania:
    https://bibliotekanauki.pl/articles/2175831.pdf
    Data publikacji:
    2022
    Wydawca:
    Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
    Tematy:
    multi-objective quadratic fractional programming model
    MOQFPM
    pentagonal fuzzy number
    PFN
    mean method of α-cut
    parametric approach
    ε-constraint method
    Opis:
    This study proposes a methodology to obtain an efficient solution for a programming model which is multi-objective quadratic fractional with pentagonal fuzzy numbers as coefficients in all the objective functions and constraints. The proposed approach consists of three stages. In the first stage, defuzzification of the coefficients is carried out using the mean method of α-cut. Then, in the second stage, a crisp multi-objective quadratic fractional programming model (MOQFP) is constructed to obtain a non-fractional model based on an iterative parametric approach. In the final stage, this multi- -objective non-fractional model is transformed to obtain a model with a single objective by applying the ε-constraint method. This final model is then solved to get desired solution. Also, an algorithm and flowchart expressing the methodology are given to present a clear picture of the approach. Finally, a numerical example illustrating the complete approach is given.
    Źródło:
    Operations Research and Decisions; 2022, 32, 1; 49--71
    2081-8858
    2391-6060
    Pojawia się w:
    Operations Research and Decisions
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Modelling of surface roughness and tool wear when finish milling process of the circular bevel gear
    Autorzy:
    Pham, Van Dong
    Hoang, Xuan Thinh
    Powiązania:
    https://bibliotekanauki.pl/articles/2200262.pdf
    Data publikacji:
    2023
    Wydawca:
    Wrocławska Rada Federacji Stowarzyszeń Naukowo-Technicznych
    Tematy:
    circular bevel gear
    surface roughness model
    tool wear model
    multi-objective optimisation
    Opis:
    An experimental process to build the models of surface roughness and tool wear in the finish milling of the Gleason circular bevel gears was carried out in this study. The experiments were conducted according to a Box-Behnken matrix. Three cutting parameters were adjusted in each experiment including cutting speed, feed rate, and depth of cut. From the experimental results, the influences of cutting parameters on the surface roughness and tool wear were analysed in detail. Two models of surface roughness and tool wear were established with high accuracy. The optimal values of the cutting parameters were also determined to simultaneously ensure the minimum values of two output parameters. The further research directions were also suggested at the end of this study.
    Źródło:
    Journal of Machine Engineering; 2023, 23, 1; 154--169
    1895-7595
    2391-8071
    Pojawia się w:
    Journal of Machine Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Multi-objective two-stage stochastic optimization model for post-disaster waste management
    Autorzy:
    Boonmee, Chawis
    Legsakul, Komkrit
    Arimura, Mikiharu
    Powiązania:
    https://bibliotekanauki.pl/articles/23966900.pdf
    Data publikacji:
    2023
    Wydawca:
    Stowarzyszenie Menedżerów Jakości i Produkcji
    Tematy:
    po katastrofie
    gospodarowanie odpadami
    wielozadaniowość
    dwustopniowy model stochastyczny
    post-disaster
    waste management
    multi-objective
    two-stage stochastic model
    Opis:
    Post-disaster waste management is one of the most crucial tasks in the recovery phase of the disaster cycle, and it was created to assist affected communities in returning to a stable state following a disaster. To develop an efficient post-disaster waste management strategy, this study presents a multi-objective two-stage stochastic mixed integer linear programming model for post-disaster waste management. The proposed mathematical model was developed based on a mixed strategy of on-site and off-site waste separation in the supply chain. This study aims to minimize not only the total cost and the environmental impact to provide waste flow decisions and choose collection and separation sites, recycling sites, landfill sites, and incineration sites throughout the supply chain under the uncertain situation. To solve a multi-objective problem, a normalized weighted sum method is used to find the solution. A numerical case based on realistic data is presented to validate and verify the proposed model. Based on the numerical example, the results demonstrated that the implementation of the mixed strategy for waste separation with the consideration of uncertain situations can reduce the total cost, balance the environmental impact, and determine the unexpected situation in the post-disaster waste supply chain efficiently.
    Źródło:
    Production Engineering Archives; 2023, 29, 1; 58--68
    2353-5156
    2353-7779
    Pojawia się w:
    Production Engineering Archives
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Reactive distillation for multiple-reaction systems: optimisation study using an evolutionary algorithm
    Autorzy:
    Keller, T.
    Dreisewerd, B.
    Górak, A.
    Powiązania:
    https://bibliotekanauki.pl/articles/185082.pdf
    Data publikacji:
    2013
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    nonequilibrium-stage model
    Pareto front
    multi-objective optimization
    diethyl
    carbonate
    ethyl methyl carbonate
    model równowagi
    optymalizacja wielokryterialna
    dietyl
    węglan
    etylo-węglan metylu
    Opis:
    Reactive distillation (RD) has already demonstrated its potential to significantly increase reactant conversion and the purity of the target product. Our work focuses on the application of RD to reaction systems that feature more than one main reaction. In such multiple-reaction systems, the application of RD would enhance not only the reactant conversion but also the selectivity of the target product. The potential of RD to improve the product selectivity of multiple reaction systems has not yet been fully exploited because of a shortage of available comprehensive experimental and theoretical studies. In the present article, we want to theoretically identify the full potential of RD technology in multiple-reaction systems by performing a detailed optimisation study. An evolutionary algorithm was applied and the obtained results were compared with those of a conventional stirred tank reactor to quantify the potential of RD to improve the target product selectivity of multiple-reaction systems. The consecutive transesterification of dimethyl carbonate with ethanol to form ethyl methyl carbonate and diethyl carbonate was used as a case study.
    Źródło:
    Chemical and Process Engineering; 2013, 34, 1; 17-38
    0208-6425
    2300-1925
    Pojawia się w:
    Chemical and Process Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Recent developments in simulation-driven multi-objective design of antennas
    Autorzy:
    Koziel, S.
    Bekasiewicz, A.
    Powiązania:
    https://bibliotekanauki.pl/articles/201914.pdf
    Data publikacji:
    2015
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    computer-aided design
    CAD
    antenna design
    multi-objective optimization
    surrogate models
    evolutionary algorithms
    projektowanie wspomagane komputerowo
    projektowanie anteny
    model zastępczy
    algorytmy ewolucyjne
    Opis:
    This paper addresses computationally feasible multi-objective optimization of antenna structures. We review two recent techniques that utilize the multi-objective evolutionary algorithm (MOEA) working with fast antenna replacement models (surrogates) constructed as Kriging interpolation of coarse-discretization electromagnetic (EM) simulation data. The initial set of Pareto-optimal designs is subsequently refined to elevate it to the high-fidelity EM simulation accuracy. In the first method, this is realized point-by-point through appropriate response correction techniques. In the second method, sparsely sampled high-fidelity simulation data is blended into the surrogate model using Co-kriging. Both methods are illustrated using two design examples: an ultra-wideband (UWB) monocone antenna and a planar Yagi-Uda antenna. Advantages and disadvantages of the methods are also discussed.
    Źródło:
    Bulletin of the Polish Academy of Sciences. Technical Sciences; 2015, 63, 3; 781-789
    0239-7528
    Pojawia się w:
    Bulletin of the Polish Academy of Sciences. Technical Sciences
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-6 z 6

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