Detection of blood vessels in ophthalmoscope images using MF/ant (matched filter/ant colony) algorithm MG Cinsdikici, D Aydın Computer methods and programs in biomedicine 96 (2), 85-95, 2009 | 267 | 2009 |
Artificial bee colony algorithm with dynamic population size to combined economic and emission dispatch problem D Aydin, S Özyön, C Yaşar, T Liao International journal of electrical power & energy systems 54, 144-153, 2014 | 214 | 2014 |
An interactive simulation and analysis software for solving TSP using Ant Colony Optimization algorithms A Uğur, D Aydin Advances in Engineering software 40 (5), 341-349, 2009 | 117 | 2009 |
An incremental ant colony algorithm with local search for continuous optimization T Liao, MAM De Oca, D Aydın, T Stützle, M Dorigo Proceedings of the 13th annual conference on Genetic and evolutionary …, 2011 | 107 | 2011 |
Incremental artificial bee colony with local search to economic dispatch problem with ramp rate limits and prohibited operating zones S Özyön, D Aydin Energy conversion and management 65, 397-407, 2013 | 97 | 2013 |
An incremental particle swarm for large-scale continuous optimization problems: an example of tuning-in-the-loop (re) design of optimization algorithms MAM de Oca, D Aydın, T Stützle Soft Computing-A Fusion of Foundations, Methodologies and Applications 15 …, 2011 | 86* | 2011 |
Solution to non-convex economic dispatch problem with valve point effects by incremental artificial bee colony with local search D Aydın, S Özyön Applied Soft Computing 13 (5), 2456-2466, 2013 | 76 | 2013 |
Artificial bee colonies for continuous optimization: Experimental analysis and improvements T Liao, D Aydın, T Stützle Swarm Intelligence 7, 327-356, 2013 | 62 | 2013 |
ABC-X: a generalized, automatically configurable artificial bee colony framework D Aydın, G Yavuz, T Stützle Swarm Intelligence 11, 1-38, 2017 | 43 | 2017 |
Artificial bee colony algorithm with distant savants for constrained optimization G Yavuz, B Durmuş, D Aydın Applied Soft Computing 116, 108343, 2022 | 38 | 2022 |
Improving Performance via Population Growth and Local Search: The Case of the Artificial Bee Colony Algorithm D Aydın, T Liao, MAM de Oca, T Stützle Proc. of Artif. Evol, 131-142, 2011 | 38 | 2011 |
Composite artificial bee colony algorithms: From component-based analysis to high-performing algorithms D Aydın Applied Soft Computing 32, 266-285, 2015 | 30 | 2015 |
Angle modulated artificial bee colony algorithms for feature selection G Yavuz, D Aydin Applied Computational Intelligence and Soft Computing 2016 (1), 9569161, 2016 | 29 | 2016 |
Improved self-adaptive search equation-based artificial bee colony algorithm with competitive local search strategy G Yavuz, D Aydın Swarm and Evolutionary Computation 51, 100582, 2019 | 28 | 2019 |
Two population-based optimization algorithms for minimum weight connected dominating set problem ZA Dagdeviren, D Aydin, M Cinsdikici Applied Soft Computing 59, 644-658, 2017 | 28 | 2017 |
Extraction of flower regions in color images using ant colony optimization D Aydın, A Uğur Procedia Computer Science 3, 530-536, 2011 | 27 | 2011 |
A hybrid list-based task scheduling scheme for heterogeneous computing M Sulaiman, Z Halim, M Waqas, D Aydın The Journal of Supercomputing 77 (9), 10252-10288, 2021 | 26 | 2021 |
Deep neural network-based identification of driving risk utilizing driver dependent vehicle driving features: A scheme for critical infrastructure protection Z Halim, M Sulaiman, M Waqas, D Aydın Journal of Ambient Intelligence and Humanized Computing 14 (9), 11747-11765, 2023 | 18 | 2023 |
A new modified artificial bee colony algorithm for energy demand forecasting problem D Özdemir, S Dörterler, D Aydın Neural Computing and Applications 34 (20), 17455-17471, 2022 | 15 | 2022 |
Ant system algoritmasının java ile görselleştirilmesi A Uğur, D Aydın Akademik Bilişim 2006, 2006 | 15 | 2006 |