Haluk Yapicioglu, Ph.D.

Affiliations: 
2008 Auburn University, Auburn, AL, United States 
Area:
Industrial Engineering, System Science Engineering
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"Haluk Yapicioglu"

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Alice E. Smith grad student 2008 Auburn University
 (Retail spatial design with a racetrack aisle network considering revenue and adjacencies.)
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Publications

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Karaaslan Y, Yapicioglu H, Sevik C. (2020) Assessment of Thermal Transport Properties of Group-III Nitrides: A Classical Molecular Dynamics Study with Transferable Tersoff-Type Interatomic Potentials Physical Review Applied. 13: 34027
Mobaraki A, Kandemir A, Yapicioglu H, et al. (2018) Validation of inter-atomic potential for WS2 and WSe2 crystals through assessment of thermal transport properties Computational Materials Science. 144: 92-98
Yapicioglu H. (2018) Multiperiod Multi Traveling Salesmen Problem Considering Time Window Constraints with an Application to a Real World Case Networks and Spatial Economics. 18: 773-801
Yapicioglu H. (2017) Author Correction: Multiperiod Multi Traveling Salesmen Problem Considering Time Window Constraints with an Application to a Real World Case Networks and Spatial Economics. 18: 803-803
Kandemir A, Yapicioglu H, Kinaci A, et al. (2016) Thermal transport properties of MoS2 and MoSe2 monolayers. Nanotechnology. 27: 055703
Yapicioglu H, Smith AE. (2012) Retail space design considering revenue and adjacencies using a racetrack aisle network Iie Transactions (Institute of Industrial Engineers). 44: 446-458
Yapicioglu H, Smith AE. (2012) A bi-objective model for the retail spatial design problem Engineering Optimization. 44: 243-266
Yapicioglu H, Smith AE. (2011) Disservice representation using the Gini coefficient in semi-desirable facility location problems 2011 Ieee Congress of Evolutionary Computation, Cec 2011. 110-114
Yapicioglu H, Liu H, Smith AE, et al. (2011) Hybrid approach for Pareto front expansion in heuristics Journal of the Operational Research Society. 62: 348-359
Yapicioglu H, Smith AE, Dozier G. (2006) Solving the semi-desirable facility location problem using bi-objective particle swarm European Journal of Operational Research. 177: 733-749
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