Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
A discrete time quasi birth and death model of fixed cycle time policies for stochastic multi-item production inventory problem
Download
093317.pdf
Date
2000
Author
Kocabıyıkoğlu, Ayşe
Metadata
Show full item record
Item Usage Stats
124
views
0
downloads
Cite This
URI
https://hdl.handle.net/11511/2755
Collections
Graduate School of Natural and Applied Sciences, Thesis
Suggestions
OpenMETU
Core
A self-organizing neural network approach for the single AGV routing problem
Soylu, M; Özdemirel, Nur Evin; Kayaligil, S (2000-02-15)
In this research, a special form of Automated Guided Vehicle (AGV) routing problem is investigated. The objective is to find the shortest tour for a single, free-ranging AGV that has to carry out multiple pick and deliver (P&D) requests. This problem is an incidence of the asymmetric traveling salesman problem which is known to be NP-complete. An artificial neural network algorithm based on Kohonen's self-organizing feature maps is developed to solve the problem, and several improvements on the basic featur...
A Trie-structured Bayesian Model for Unsupervised Morphological Segmentation
Kurfalı, Murathan; Ustun, Ahmet; CAN BUĞLALILAR, BURCU (2017-04-23)
In this paper, we introduce a trie-structured Bayesian model for unsupervised morphological segmentation. We adopt prior information from different sources in the model. We use neural word embeddings to discover words that are morphologically derived from each other and thereby that are semantically similar. We use letter successor variety counts obtained from tries that are built by neural word embeddings. Our results show that using different information sources such as neural word embeddings and letter s...
A NONLINEAR-PROGRAMMING MODEL FOR PARTIALLY OBSERVABLE MARKOV DECISION-PROCESSES - FINITE-HORIZON CASE
Serin, Yaşar Yasemin (1995-11-02)
The concept of partially observable Markov decision processes was born to handle the problem of lack of information about the state of a Markov decision process. If the state of the system is unknown to the decision maker then an obvious approach is to gather information that is helpful in selecting an action, This problem was already solved using the theory of Markov processes. We construct a nonlinear programming model for the same problem and develop a solution algorithm that turns out to be a policy ite...
A Recurrent and Meta-learned Model of Weakly Supervised Object Localization
Sariyildiz, Mert Bulent; Sumbul, Gencer; Cinbiş, Ramazan Gökberk (2022-01-01)
The object localization and detection has improved greatly over the past decade, thanks to developments in deep learning based representations and localization models. However, a major bottleneck remains at the reliance on fully-supervised datasets, which can be difficult to gather in many real-world scenarios. In this work, we focus on the problem of weakly-supervised localization, where the goal is to localize instances of objects based on simple image-level class annotations. In particular, instead of en...
A Probabilistic Approach for Indirect Elicitation of the Preferences of a Decision Maker
Yet, Barbaros (2018-05-28)
Eliciting the preferences of a Decision Maker (DM) is a challenging task in multi criteria-decision making problems. DM preferences can be represented in the form of weights for criteria. Direct elicitation methods can be cognitively difficult for the DM especially when a large number of weights with close values are available. Indirect methods are beneficial in this regard as they use decision alternatives rather than weights for elicitation. However, the accuracy of these approaches can vary depending on ...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
A. Kocabıyıkoğlu, “A discrete time quasi birth and death model of fixed cycle time policies for stochastic multi-item production inventory problem,” Middle East Technical University, 2000.