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Dogan Aydin
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2020 – today
- 2023
- [j20]Zahid Halim
, Muhammad Sulaiman
Deep neural network-based identification of driving risk utilizing driver dependent vehicle driving features: a scheme for critical infrastructure protection. J. Ambient Intell. Humaniz. Comput. 14(9): 11747-11765 (2023) - [j19]Dogan Aydin
Elitist artificial bee colony with dynamic population size for multimodal optimization problems. Swarm Intell. 17(4): 305-334 (2023) - 2022
- [j18]Gürcan Yavuz
Artificial Bee Colony Algorithm with Distant Savants for constrained optimization. Appl. Soft Comput. 116: 108343 (2022) - [j17]Durmus Özdemir
A new modified artificial bee colony algorithm for energy demand forecasting problem. Neural Comput. Appl. 34(20): 17455-17471 (2022) - 2021
- [j16]Muhammad Sulaiman
A hybrid list-based task scheduling scheme for heterogeneous computing. J. Supercomput. 77(9): 10252-10288 (2021) - 2020
- [c10]Pawel Maciejewski, Malgorzata Gawlik-Kobylinska, Jacek Lebiedz, Witold Ostant, Dogan Aydin
To Survive in a CBRN Hostile Environment: Application of CAVE Automatic Virtual Environments in First Responder Training. APPIS 2020: 16:1-16:5
2010 – 2019
- 2019
- [j15]Burhanettin Durmus, Gürcan Yavuz, Dogan Aydin
Adaptive iir filter design using self-adaptive search equation based artificial beecolony algorithm. Turkish J. Electr. Eng. Comput. Sci. 27(6): 4797-4817 (2019) - [j14]Gürcan Yavuz
Improved Self-adaptive Search Equation-based Artificial Bee Colony Algorithm with competitive local search strategy. Swarm Evol. Comput. 51 (2019) - 2018
- [c9]Adem Tural, Gürcan Yavuz, Dogan Aydin
Multi-level image thresholding with global-best distance artificial bee colony algorithm. SIU 2018: 1-4 - 2017
- [j13]Zuleyha Akusta Dagdeviren, Dogan Aydin
Two population-based optimization algorithms for minimum weight connected dominating set problem. Appl. Soft Comput. 59: 644-658 (2017) - [j12]Bekir Afsar, Dogan Aydin, Aybars Ugur, Serdar Korukoglu:
Self-Adaptive and Adaptive Parameter Control in Improved Artificial Bee Colony Algorithm. Informatica 28(3): 415-438 (2017) - [j11]Dogan Aydin
ABC-X: a generalized, automatically configurable artificial bee colony framework. Swarm Intell. 11(1): 1-38 (2017) - [c8]Dogan Aydin
Artificial bee colony framework to non-convex economic dispatch problem with valve point effects: a case study. GECCO (Companion) 2017: 1311-1318 - [c7]Dogan Aydin
Self-adaptive search equation-based artificial bee colony algorithm with CMA-ES on the noiseless BBOB testbed. GECCO (Companion) 2017: 1742-1749 - 2016
- [j10]Gürcan Yavuz
Angle Modulated Artificial Bee Colony Algorithms for Feature Selection. Appl. Comput. Intell. Soft Comput. 2016: 9569161:1-9569161:6 (2016) - [c6]Gürcan Yavuz, Dogan Aydin
Self-adaptive search equation-based artificial bee colony algorithm on the CEC 2014 benchmark functions. CEC 2016: 1173-1180 - 2015
- [j9]Dogan Aydin
Composite artificial bee colony algorithms: From component-based analysis to high-performing algorithms. Appl. Soft Comput. 32: 266-285 (2015) - [j8]Göktug Günkaya, Mevlüt Gürbüz, Dogan Aydin:
Electrophoretic Deposition of SnO2 Nanoparticles and Its LPG Sensing Characteristics. J. Sensors 2015: 971473:1-971473:9 (2015) - [c5]Dogan Aydin
A configurable generalized artificial bee colony algorithm with local search strategies. CEC 2015: 1067-1074 - 2013
- [j7]Dogan Aydin
Solution to non-convex economic dispatch problem with valve point effects by incremental artificial bee colony with local search. Appl. Soft Comput. 13(5): 2456-2466 (2013) - [j6]Tianjun Liao, Dogan Aydin
Artificial bee colonies for continuous optimization: Experimental analysis and improvements. Swarm Intell. 7(4): 327-356 (2013) - 2011
- [b1]Dogan Aydin:
Sürü zekası yaklaşımlarının renkli görüntü kesimlemeye uyarlanması ve tanıma sistemleri üzerinde gerçekleştirimi (Adaptation of swarm intelligence approaches into color image segmentation and their implementations on recognition systems). Ege University, Turkey, 2011 - [j5]Marco Antonio Montes de Oca, Dogan Aydin
An incremental particle swarm for large-scale continuous optimization problems: an example of tuning-in-the-loop (re)design of optimization algorithms. Soft Comput. 15(11): 2233-2255 (2011) - [c4]Dogan Aydin
Improving Performance via Population Growth and Local Search: The Case of the Artificial Bee Colony Algorithm. Artificial Evolution 2011: 85-96 - [c3]Tianjun Liao, Marco Antonio Montes de Oca, Dogan Aydin
An incremental ant colony algorithm with local search for continuous optimization. GECCO 2011: 125-132 - [c2]Dogan Aydin
Extraction of flower regions in color images using ant colony optimization. WCIT 2011: 530-536 - 2010
- [j4]Dogan Aydin
Automatic Flower Boundary Extraction Using Ipsoantk-Means Algorithm. Cybern. Syst. 41(6): 416-434 (2010) - [j3]Dogan Aydin
An Efficient Ant-Based Edge Detector. Trans. Comput. Collect. Intell. 1: 39-55 (2010)
2000 – 2009
- 2009
- [j2]Aybars Ugur
An interactive simulation and analysis software for solving TSP using Ant Colony Optimization algorithms. Adv. Eng. Softw. 40(5): 341-349 (2009) - [j1]Muhammed Gökhan Cinsdikici
Detection of blood vessels in ophthalmoscope images using MF/ant (matched filter/ant colony) algorithm. Comput. Methods Programs Biomed. 96(2): 85-95 (2009) - [c1]Dogan Aydin:
A Modified Ant-Based Approach to Edge Detection. ICCCI 2009: 620-628
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