Browsing by Author "Eliiyi, Deniz Türsel"
Now showing items 1-15 of 15
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Artificial intelligence approaches to estimate the transport energy demand in Turkey
Turgut, Mert Sinan; Eliiyi, Uğur; Turgut, Oğuz Emrah; Öner, Erdinç; Eliiyi, Deniz Türsel (Springer Heidelberg, 2021)In this study, eight parameters are selected and their historical data are collected to predict the future of the energy demand of Turkey. The initial eight parameters were the gross domestic product (GDP) of Turkey, average ... -
Cargo allocation and vessel scheduling on liner shipping with synchronization of transshipments
Özcan, Sel; Eliiyi, Deniz Türsel; Reinhardt, Line Blander (Elsevier Science Inc, 2020)A mixed integer linear programming model is presented for the operational level cargo allocation and vessel scheduling problem of a liner shipping company in Turkey, where flow-dependent port-stay lengths, transit times ... -
A comprehensive review of quay crane scheduling, yard operations and integrations thereof in container terminals
Kızılay, Damla; Eliiyi, Deniz Türsel (Springer, 2021)Over the past decades, container transportation has achieved considerable growth, and maritime trade now constitutes 80% of the global trade. The vessel sizes increased in parallel, up to 21,400 TEU (Twenty-foot-equivalent ... -
Constraint programming models for integrated container terminal operations
Kızılay, Damla; Van Hentenryck, Pascal; Eliiyi, Deniz Türsel (Elsevier, 2020)Although operations in container terminals are highly interdependent, they are traditionally optimized by decomposing the overall problem into a sequence of smaller sub-problems, each focusing on a single operation. Recent ... -
A Distributed depth first Search based algorithm for edge connectivity estimation
Uğurlu, Onur; Akram, Vahid Khalilpour; Eliiyi, Deniz Türsel (IEEE, 2020)The edge connectivity of a network is the minimum number of edges whose removal disconnect the network. The edge connectivity determines the minimum number of edge-disjoint paths between all nodes. Hence finding the edge ... -
An energy-efficient permutation flowshop scheduling problem
Öztop, Hande; Taşgetiren, M. Fatih; Eliiyi, Deniz Türsel; Pan, Quan-Ke; Kandiller, Levent (Pergamon-Elsevier Science Ltd, 2020)The permutation flowshop scheduling problem (PFSP) has been extensively explored in scheduling literature because it has many real-world industrial implementations. In some studies, multiple objectives related to production ... -
Ensemble of metaheuristics for energy-efficient hybrid flowshops: Makespan versus total energy consumption
Öztop, Hande; Taşgetiren, M. Fatih; Kandiller, Levent; Eliiyi, Deniz Türsel; Gao, Liang (Elsevier, 2020)Due to its practical relevance, the hybrid flowshop scheduling problem (HFSP) has been widely studied in the literature with the objectives related to production efficiency. However, studies regarding energy consumption ... -
Island-based Crow Search Algorithm for solving optimal control problems
Turgut, Mert Sinan; Turgut, Oğuz Emrah; Eliiyi, Deniz Türsel (Elsevier, 2020)Crow Search Algorithm (CROW) is one of the members of recently developed swarm-based meta-heuristic algorithms. Literature includes different applications of this algorithm on engineering design problems. However, this ... -
Joint Forecasting-Scheduling for the Internet of Things
Nakip, Mert; Rodoplu, Volkan; Güzeliş, C.; Eliiyi, Deniz Türsel (Institute of Electrical and Electronics Engineers Inc., 2019)We present a joint forecasting-scheduling (JFS) system, to be implemented at an IoT Gateway, in order to alleviate the Massive Access Problem of the Internet of Things. The existing proposals to solve the Massive Access ... -
Metaheuristic algorithms for the hybrid flowshop scheduling problem
Öztop, Hande; Taşgetiren, M. Fatih; Eliiyi, Deniz Türsel; Pan, Quan-Ke (Pergamon-Elsevier Science Ltd, 2019)The hybrid flowshop scheduling problem (HFSP) has been widely studied in the literature, as it has many real-life applications in industry. Even though many solution approaches have been presented for the HFSP with makespan ... -
Multi-Channel Joint Forecasting-Scheduling for the Internet of Things
Rodoplu, Volkan; Nakip, Mert; Qorbanian, Roozbeh; Eliiyi, Deniz Türsel (IEEE-Inst Electrical Electronics Engineers Inc, 2020)We develop a methodology for Multi-Channel Joint Forecasting-Scheduling (MC-JFS) targeted at solving the Medium Access Control (MAC) layer Massive Access Problem of Machine-to-Machine (M2M) communication in the presence ... -
A multiscale algorithm for joint forecasting-scheduling to solve the massive access problem of IoT
Rodoplu, Volkan; Nakip, Mert; Eliiyi, Deniz Türsel; Guzelis, Cuneyt (IEEE-Inst Electrical Electronics Engineers Inc, 2020)The massive access problem of the Internet of Things (IoT) is the problem of enabling the wireless access of a massive number of IoT devices to the wired infrastructure. In this article, we describe a multiscale algorithm ... -
Parallel identification of central nodes in wireless multi-hop networks
Eliiyi, Deniz Türsel; Arslan, Hilal; Akram, Vahid Khalilpour; Uğurlu, Onur (IEEE, 2020)A wireless multi-hop network is a collection of nodes that communicate by message passing over multiple links. Sending a message to a remote node can consume some energy from all intermediary nodes. In a network, the nodes ... -
A progressive search algorithm for the minimum hitting set problem
Given a finite universe and a collection of the subsets of the universe, the minimum hitting set of thecollection is the smallest subset of the universe that has non-empty intersection with each set in thecollection. Finding ... -
Vehicle routing with compartments under product incompatibility constraints
Taşar, Bahar; Eliiyi, Deniz Türsel; Kandiller, Levent (Svenciliste U Zagrebu, Fakultet Prometnih Znanosti, 2019)This study focuses on a distribution problem involving incompatible products which cannot be stored in a compartment of a vehicle. To satisfy different types of customer demand at minimum logistics cost, the products are ...
