Search Results - "DOSDOĞRU, Ayşe Tuğba"

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  1. 1

    Integrating metaheuristics and Artificial Neural Networks for improved stock price prediction by Göçken, Mustafa, Özçalıcı, Mehmet, Boru, Aslı, Dosdoğru, Ayşe Tuğba

    Published in Expert systems with applications (01-02-2016)
    “…•Integrating metaheuristics and ANN for improved stock price prediction.•Both topology of ANN and the number of inputs are optimized.•The number of the input…”
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    Journal Article
  2. 2

    Melez Yöntemler ile Ankara Üniversitesi Siyasal Bilgiler Fakültesi Dergisinde Yayınlanan Bilimsel Makalelerin Sınıflandırılması by ÖZÇALICI, Mehmet, BORU İPEK, Aslı, GÖÇKEN, Mustafa, DOSDOĞRU, Ayşe Tuğba

    Published in Ankara Üniversitesi SBF Dergisi (01-07-2022)
    “…Teknoloji, sosyal bilimler ve diğer alanlarda yapılan çalışmaların sayısı hızla artmaktadır. Bu nedenle dergilerde bulunan makalelerin sayısı da her geçen gün…”
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    Journal Article
  3. 3

    Process plan and part routing optimization in a dynamic flexible job shop scheduling environment: an optimization via simulation approach by Geyik, Faruk, Dosdoğru, Ayşe Tuğba

    Published in Neural computing & applications (01-11-2013)
    “…This paper presents an optimization via simulation approach to solve dynamic flexible job shop scheduling problems. In most real-life problems, certain…”
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    Journal Article
  4. 4

    A Novel Hybrid Artificial Intelligence Based Methodology for the Inventory Routing Problem by Boru, Aslı, Dosdoğru, Ayşe Tuğba, Göçken, Mustafa, Erol, Rızvan

    Published in Symmetry (Basel) (01-05-2019)
    “…In this paper, a new hybrid method including simulation optimization and artificial intelligence based simulation is created to solve the inventory routing…”
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    Journal Article
  5. 5

    Hybrid boosting algorithms and artificial neural network for wind speed prediction by Dosdoğru, Ayşe Tuğba, Boru İpek, Aslı

    Published in International journal of hydrogen energy (08-01-2022)
    “…Energy sources are an important foundation for national economic growth. The future of energy sources depend on the energy controls. The reserves of fossil…”
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    Journal Article
  6. 6

    Comparative study of hybrid artificial neural network methods under stationary and nonstationary data in stock market by Dosdoğru, Ayşe Tuğba

    Published in Managerial and decision economics (01-06-2019)
    “…In this study, a new methodology is proposed to automatically determine six parameters of artificial neural network using population‐based metaheuristics. We…”
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    Journal Article
  7. 7

    Stock price prediction using hybrid soft computing models incorporating parameter tuning and input variable selection by Göçken, Mustafa, Özçalıcı, Mehmet, Boru, Aslı, Dosdoğru, Ayşe Tuğba

    Published in Neural computing & applications (14-02-2019)
    “…Over the years, high-dimensional, noisy, and time-varying natures of the stock markets are analyzed to carry out accurate prediction. Particularly, speculators…”
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    Journal Article
  8. 8
  9. 9

    Determining the factor levels for a green supply chain using response surface methodology based discrete event simulation by Dosdoğru, Ayşe Tuğba, Buruk Sahin, Yeliz, Göçken, Mustafa, Boru İpek, Aslı

    Published in Kybernetes (14-05-2024)
    “…Purpose This study aims to optimize the levels of factors for a green supply chain (GSC) while concurrently gaining valuable insights into the dynamic…”
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    Journal Article
  10. 10
  11. 11

    Integration of genetic algorithm and Monte Carlo to analyze the effect of routing flexibility by Dosdoğru, Ayşe Tuğba, Göçken, Mustafa, Geyik, Faruk

    “…Flexibility is an important task for effectively utilizing resources in a manufacturing system and responding demands rapidly. In manufacturing systems, there…”
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    Journal Article
  12. 12

    Characterizing continuous (s, S) policy with supplier selection using Simulation Optimization by Göçken, Mustafa, Dosdoğru, Ayşe Tuğba, Boru, Aslı, Geyik, Faruk

    Published in Simulation (San Diego, Calif.) (01-05-2017)
    “…A real-world inventory control system, due to its nonlinear, stochastic, time-dependent nature, and the presence of complex interactions between supply chain…”
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    Journal Article
  13. 13

    A novel hybrid artificial intelligence-based decision support framework to predict lead time by Dosdoğru, Ayşe Tuğba, Boru İpek, Aslı, Göçken, Mustafa

    Published in International journal of logistics (04-05-2021)
    “…Inventory and routing are the two most important elements to company's survival in supply chain environments. Hence, solution approaches of inventory routing…”
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    Journal Article
  14. 14

    Hybridizing extreme learning machine and bio-inspired computing approaches for improved stock market forecasting by Gocken, Mustafa, Boru, Asli, Dosdogru, Ayse Tugba, Ozcalici, Mehmet

    “…Under today's economic conditions, developing more robust and realistic forecasting methods is needed to make investments more profitable and secure. However,…”
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    Conference Proceeding
  15. 15

    (R, s, S) inventory control policy and supplier selection in a two-echelon supply chain: An Optimization via Simulation approach by Gocken, Mustafa, Boru, Asli, Dosdogru, Ayse Tugba, Geyik, Faruk

    Published in 2015 Winter Simulation Conference (WSC) (01-12-2015)
    “…Existing literature proves that Optimization via Simulation (OvS) is relatively easy to develop regardless of the complexity of the problem and provide a much…”
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    Conference Proceeding Journal Article