Tonguç Ünlüyurt

ORCID: 0000-0002-3840-0806
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About
Contact & Profiles
Research Areas
  • Machine Learning and Algorithms
  • Software Testing and Debugging Techniques
  • Software Reliability and Analysis Research
  • Vehicle Routing Optimization Methods
  • Facility Location and Emergency Management
  • Reliability and Maintenance Optimization
  • Cooperative Communication and Network Coding
  • Formal Methods in Verification
  • Mobile Ad Hoc Networks
  • Engineering and Test Systems
  • Optimization and Mathematical Programming
  • VLSI and Analog Circuit Testing
  • Evacuation and Crowd Dynamics
  • Urban Transport and Accessibility
  • Maritime Ports and Logistics
  • Advanced Wireless Network Optimization
  • Transportation and Mobility Innovations
  • Optimization and Packing Problems
  • Full-Duplex Wireless Communications
  • Transportation Planning and Optimization
  • Wireless Networks and Protocols
  • Urban and Freight Transport Logistics
  • Advanced Manufacturing and Logistics Optimization
  • Risk and Safety Analysis
  • AI-based Problem Solving and Planning

Sabancı Üniversitesi
2012-2022

Rutgers, The State University of New Jersey
1999-2000

SUMMARY The breakdown of trade barriers among countries led to an enormous increase in the volume international trade. Consequently, amount bulk cargo carried containers and transported overseas exploded because flexibility reliability this type transportation. So, efficiency container terminals has emerged as a major problem. In work, we deal with operational problem terminals. We try develop strategies minimize total time required retrieve from bay predetermined sequence. is solved...

10.1002/atr.1193 article EN Journal of Advanced Transportation 2012-06-15

The problem of generating the sequence tests required to reach a diagnostic conclusion with minimum average cost, which is also known as test-sequencing problem, considered. traditional generalized here include asymmetrical tests. In general, next test execute depends on results previous Hence, can naturally be formulated an optimal binary AND/OR decision tree construction whose solution NP-hard. Our approach based integrating concepts from one-step look-ahead heuristic algorithms and basic...

10.1109/tsmca.2007.893459 article EN IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans 2007-08-22

10.1023/a:1018958928835 article EN Annals of Mathematics and Artificial Intelligence 1999-01-01

Abstract We introduce and study a generalization of the classic sequential testing problem, asking to identify correct state given series system that consists independent stochastic components. In this setting, costly tests are required examine individual components, which sequentially tested until can be uniquely identified. The goal is propose policy minimizes expected cost, a‐priori probabilistic information on nature each component. Unlike where variables one after other, we allow...

10.1002/nav.21693 article EN Naval Research Logistics (NRL) 2016-06-01

We address the most general case of multiperiod, multiproduct network planning problems, where we allow spoilage on arcs and storage at nodes. In our models, all parameters change over time products. The minimum-cost flow problem in discrete-time model with varying is investigated when and/or spoilage, some reformulation techniques employing polyhedrals are developed to obtain optimal solutions for a predefined horizon. Our methods rely appropriate definitions matrices that lead LP problems...

10.1155/2014/825058 article EN cc-by Journal of Applied Mathematics 2014-01-01

We consider source-initiated broadcast session traffic in an ad hoc wireless network operating under a hard constraint on the end-to-end delay between source and any node network. measure to given number of hops data travels from that node, our objective this paper is construct energy-efficient tree has maximum depth Δ, where Δ; represents hop characterize optimal solution closely related problem massively dense networks using dynamic programming formulation. prove can be obtained by...

10.1109/tmc.2008.105 article EN IEEE Transactions on Mobile Computing 2008-08-18

10.1016/j.cie.2018.02.033 article EN Computers & Industrial Engineering 2018-03-02

Stochastic Boolean Function Evaluation (SBFE) is the problem of determining value a given function $f$ on an unknown input $x$, when each bit $x_i$ $x$ can only be determined by paying associated cost $c_i$. Further, drawn from product distribution: for $x_i$, $Prob[x_i=1] = p_i$, and bits are independent. The goal to minimize expected evaluation. In this paper, we study complexity SBFE classes DNF formulas. We consider both exact approximate versions subclasses DNF, arbitrary costs...

10.48550/arxiv.1310.3673 preprint EN other-oa arXiv (Cornell University) 2013-01-01

This paper addresses the Vehicle Routing Problem (VRP) of a Home Health Care (HCC) service provider that serves patients requesting different types care. In this problem, HCC services are provided by two personnel, nurses and health care aides, number each type personnel is limited. Each patient must be visited exactly once even if her servicing requires both associated with strict time window during which provided. We first present 0-1 mixed integer programming formulation problem. Since...

10.1109/ssci.2015.244 article EN IEEE Symposium Series on Computational Intelligence 2015-12-01

Multi-period multi-product distribution planning problems are depicted as multi-commodity network flow where parameters may change over time. The corresponding mathematical formulation is presented for a discrete time setting, and it can also be used an approximation continuous setting. A penalty-based method which employs cost-scaling approach developed to solve some auxiliary penalty aiming obtain optimal solution the original problem. experiments on both random instances case study show...

10.1080/0305215x.2016.1206474 article EN Engineering Optimization 2016-07-27

10.1016/j.ejor.2008.11.034 article EN European Journal of Operational Research 2008-12-07
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