TR Dizin İndeksli Yayınlar Koleksiyonu / TR Dizin Indexed Publications Collection
Permanent URI for this collectionhttps://hdl.handle.net/20.500.14365/4
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Article Citation - WoS: 2Günlük Planlanmış Bakım ve Onarım Servis Planlaması için Zaman Pencereli Bir Çok Depolu Araç Rotalama Problemi(Pamukkale Univ, 2023) Toru, Elif; Yılmaz, GorkemKocaeli/Dilovası bölgesinde üretim yapan bir kompresör üreticisi, Marmara bölgesi ve çevresinin ertesi günkü bakım ve onarım talebini karşılamak için günlük olarak araç rotalama ve personel planlaması yapmaktadır. Servis planlamasından önce servis türleri ve süreleri müşteri ile kararlaştırılır. Servis personelinin başlangıç ve bitiş noktaları ikametgah adresleri olmak üzere, belirli bir planlama günü için araçlar ve ilgili operatörleri bilinmektedir. Tüm talepler, müşteriler tarafından verilen zaman pencerelerinde karşılanır. Problem, Zaman Pencereli Çok Depolu Araç Rotalama problemi (MDVRPTW) olarak ele alınmaktadır ve bir karma tamsayılı doğrusal programlama modeli geliştirilmiştir. Matematiksel model çözümü şirketin problemini çözmeye yeterlidir. Büyük örnekleri çözmek için, kısa sürede yeterli bir çözüm sağlayan bir kümeleme algoritması geliştirilmiştir.Article Certainty Factor Model in Paraphrase Detection(Pamukkale Univ, 2021) Metin, Senem Kumova; Karaoglan, Bahar; Kisla, Tarik; Soleymanzadeh, KatiraIn this paper, we address the problem of uncertainty management in identification of paraphrase sentence pairs. Paraphrase sentences are simply sets/pairs of sentences that express the same facts and/or opinions using different words or order of words. We propose the use of certainty factor (CF) model in paraphrase detection. A set of succeeding paraphrase detection features (generic and distance based features) is built by filtering and this set is used as evidences in CF model. The CF model is evaluated by F1 and accuracy measures on Microsoft Research Paraphrase corpus. The results are compared to the well-known Bayesian reasoning. The experimental results showed that CF model is an alternating paraphrase detection method to Bayes model.Article Citation - WoS: 1Image Quality Assessment Based on Manifold Distortion(Pamukkale Univ, 2021) Turkan, MehmetAn image quality metric is proposed by introducing a new framework for full reference image quality assessment from the perspective of image patch manifolds. Assuming that most natural scenes are sampled from low dimensional manifolds or submanifolds, perceived image degradations in structural variations can be quantitatively evaluated on the surfaces of highly nonlinear image manifolds. Manifold distortion image quality index first characterizes intrinsic geometric properties of the locally linear manifold structures of spatially local patch spaces, and then measures the deviation from the original smooth manifold structure to calculate the distortion index. Experimental results demonstrate a strong promise with a comparison to both subjective evaluation and state-of-the-art objective quality assessment methods.Article Estimating the Difficulty of Tartarus Instances(Pamukkale Univ, 2021) Oguz, KayaTartarus is a commonly used benchmark problem for genetic programming. However, it has never been fully explored for its difficulty tuning property. Using the data from a previous study in which we have executed millions of Tartarus instances, we contribute to the literature with an equation to estimate their difficulty. Our approach uses four metrics that are embedded into the equation. These metrics are related to the number of clusters and clusters sizes, the distances of boxes to the edges of the board grid, the number of boxes around the agent, and the minimum number of actions for the agent to reach the largest cluster. The coefficients of these metrics have been fit to the data using the general linear model and a mean residual error of similar to 0.1 has been achieved. This is the first study that can estimate the difficulty of a Tartarus board without modifying the problem in any way.Article Design and Analysis of Bi-Objective Flexible Job Shop Scheduling Problem: a Case Study in Construction Equipment Manufacturing Industry(Pamukkale Univ, 2020) Resat, Hamdi GirayThis paper presents a design and development of mixed-integer linear optimization model for scheduling of flexible job-shop production problem under capacity constraints by using exact solution algorithm. Modelling approach is designed in order to introduce data analysis in real situations, minimize production time in production lines, reduce total production costs, and reveal important features of mathematical programming problem in detail. The main purpose of this study is to obtain faster and efficient Pareto solution sets for bi-objective problem by using epsilon-constraint method. Generated Pareto frontier using real life data is shared with decision makers. The GAMS programming language is used during the solution phase of a mixed-integer linear optimization model for bi-objective problem and production efficiency of the company is increased around 16.6% in terms of production cost.
