Search Results - "DOSDOĞRU, Ayşe Tuğba"
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Integrating metaheuristics and Artificial Neural Networks for improved stock price prediction
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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Melez Yöntemler ile Ankara Üniversitesi Siyasal Bilgiler Fakültesi Dergisinde Yayınlanan Bilimsel Makalelerin Sınıflandırılması
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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3
Process plan and part routing optimization in a dynamic flexible job shop scheduling environment: an optimization via simulation approach
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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A Novel Hybrid Artificial Intelligence Based Methodology for the Inventory Routing Problem
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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Hybrid boosting algorithms and artificial neural network for wind speed prediction
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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Comparative study of hybrid artificial neural network methods under stationary and nonstationary data in stock market
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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Stock price prediction using hybrid soft computing models incorporating parameter tuning and input variable selection
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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SIMULATION OPTIMIZATION APPROACH TO PERIODIC REVIEW INVENTORY CONTROL SYSTEM WITH BACKORDERS
Published in Çukurova Üniversitesi Sosyal Bilimler Enstitüsü Dergisi (10-04-2020)Get full text
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Determining the factor levels for a green supply chain using response surface methodology based discrete event simulation
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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ULAŞIM AĞLARINDA BENZETİM YARDIMIYLA ARZ PLANLAMASI: KİLİS - GAZİANTEP ÖRNEĞİ
Published in Çukurova Üniversitesi Sosyal Bilimler Enstitüsü Dergisi (08-09-2019)Get full text
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Integration of genetic algorithm and Monte Carlo to analyze the effect of routing flexibility
Published in International journal of advanced manufacturing technology (01-11-2015)“…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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Characterizing continuous (s, S) policy with supplier selection using Simulation Optimization
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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A novel hybrid artificial intelligence-based decision support framework to predict lead time
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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Hybridizing extreme learning machine and bio-inspired computing approaches for improved stock market forecasting
Published in 2017 International Artificial Intelligence and Data Processing Symposium (IDAP) (01-09-2017)“…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 -
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(R, s, S) inventory control policy and supplier selection in a two-echelon supply chain: An Optimization via Simulation approach
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