Orhan Dengiz, Ph.D.

Affiliations: 
2007 Auburn University, Auburn, AL, United States 
Area:
Industrial Engineering, Computer Science
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"Orhan Dengiz"

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Alice E. Smith grad student 2007 Auburn University
 (Maximizing connectivity and performance in mobile ad hoc networks using mobile agents.)
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Publications

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Ic YT, Dengiz B, Dengiz O, et al. (2015) Topsis based Taguchi method for multi-response simulation optimization of flexible manufacturing system Proceedings - Winter Simulation Conference. 2015: 2147-2155
Dengiz O, Smith AE, Dozier G. (2013) Non-deterministic decoding with mapping rearrangement to enhance precision in binary encodings Heuristics: Theory and Applications. 83-108
Dengiz O, Konak A, Smith AE. (2011) Connectivity management in mobile ad hoc networks using particle swarm optimization Ad Hoc Networks. 9: 1312-1326
Konak A, Dengiz O, Smith AE. (2011) Improving network connectivity in ad hoc networks using particle swarm optimization and agents International Series in Operations Research and Management Science. 158: 247-267
Dengiz B, Alabas-Uslu C, Dengiz O. (2009) Optimization of manufacturing systems using a neural network metamodel with a new training approach Journal of the Operational Research Society. 60: 1191-1197
Dengiz B, Alabas-Uslu C, Dengiz O. (2009) A tabu search algorithm for the training of neural networks Journal of the Operational Research Society. 60: 282-291
Dengiz O, McAfee R, Nettleship I, et al. (2007) The application of automated image analysis to dense heterogeneities in partially sintered alumina Journal of the European Ceramic Society. 27: 1927-1933
Dengiz O, Smith AE, Nettleship I. (2006) Two-stage data mining for flaw identification in ceramics manufacture International Journal of Production Research. 44: 2839-2851
Dengiz O, Chen T, Nettleship I, et al. (2006) The effect of powder forming method on the pull-out flaw populations observed on polished surfaces of alumina ceramics Materials Science and Engineering A. 427: 160-166
Dengiz O, Smith AE, Nettleship I. (2005) Grain boundary detection in microstructure images using computational intelligence Computers in Industry. 56: 854-866
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