Performance-effective and low-complexity task scheduling for heterogeneous computing H Topcuoglu, S Hariri, MY Wu IEEE transactions on parallel and distributed systems 13 (3), 260-274, 2002 | 4273 | 2002 |
Task scheduling algorithms for heterogeneous processors H Topcuoglu, S Hariri, MY Wu Proceedings. Eighth Heterogeneous Computing Workshop (HCW'99), 3-14, 1999 | 389 | 1999 |
Solving the uncapacitated hub location problem using genetic algorithms H Topcuoglu, F Corut, M Ermis, G Yilmaz Computers & operations research 32 (4), 967-984, 2005 | 316 | 2005 |
Neural network based multi-objective evolutionary algorithm for dynamic workflow scheduling in cloud computing G Ismayilov, HR Topcuoglu Future Generation computer systems 102, 307-322, 2020 | 191 | 2020 |
3-D path planning for the navigation of unmanned aerial vehicles by using evolutionary algorithms I Hasircioglu, HR Topcuoglu, M Ermis Proceedings of the 10th annual conference on Genetic and evolutionary …, 2008 | 113 | 2008 |
A memory-based NSGA-II algorithm for dynamic multi-objective optimization problems S Sahmoud, HR Topcuoglu Applications of Evolutionary Computation: 19th European Conference …, 2016 | 95 | 2016 |
A hyper-heuristic based framework for dynamic optimization problems HR Topcuoglu, A Ucar, L Altin Applied Soft Computing 19, 236-251, 2014 | 58 | 2014 |
Positioning and utilizing sensors on a 3-D terrain part I—Theory and modeling HR Topcuoglu, M Ermis, M Sifyan IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and …, 2010 | 47 | 2010 |
The software architecture of a virtual distributed computing environment H Topcuoglu, S Hariri, W Furmanski, J Valente, I Ra, D Kim, Y Kim, X Bing, ... Proceedings. The Sixth IEEE International Symposium on High Performance …, 1997 | 47 | 1997 |
Sensor-based change detection schemes for dynamic multi-objective optimization problems S Sahmoud, HR Topcuoglu 2016 IEEE Symposium Series on Computational Intelligence (SSCI), 1-8, 2016 | 42 | 2016 |
Performance evaluation of evolutionary heuristics in dynamic environments D Ayvaz, HR Topcuoglu, F Gurgen Applied Intelligence 37, 130-144, 2012 | 38 | 2012 |
Positioning and utilizing sensors on a 3-D terrain part II—Solving with a hybrid evolutionary algorithm HR Topcuoglu, M Ermis, M Sifyan IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and …, 2010 | 32 | 2010 |
Static task scheduling with a unified objective on time and resource domains B Demiroz, HR Topcuoglu The Computer Journal 49 (6), 731-743, 2006 | 30 | 2006 |
Solving the register allocation problem for embedded systems using a hybrid evolutionary algorithm HR Topcuoglu, B Demiroz, M Kandemir IEEE Transactions on Evolutionary Computation 11 (5), 620-634, 2007 | 29 | 2007 |
A meta-heuristic based three-dimensional path planning environment for unmanned aerial vehicles I Oz, HR Topcuoglu, M Ermis Simulation 89 (8), 903-920, 2013 | 28 | 2013 |
A new three-dimensional wireless multimedia sensor network simulation environment for connected coverage problems H Topcuoglu, M Ermis, I Bekmezci, M Sifyan Simulation 88 (1), 110-122, 2012 | 25 | 2012 |
A general framework based on dynamic multi-objective evolutionary algorithms for handling feature drifts on data streams S Sahmoud, HR Topcuoglu Future Generation Computer Systems 102, 42-52, 2020 | 24 | 2020 |
Exploiting characterization of dynamism for enhancing dynamic multi-objective evolutionary algorithms S Sahmoud, HR Topcuoglu Applied Soft Computing 85, 105783, 2019 | 24 | 2019 |
The design and evaluation of a virtual distributed computing environment H Topcuoglu, S Hariri, D Kim, Y Kim, X Bing, B Ye, I Ra, J Valente Cluster Computing 1, 81-93, 1998 | 21 | 1998 |
Dynamic multi-objective workflow scheduling for cloud computing based on evolutionary algorithms G Ismayilov, HR Topcuoglu 2018 IEEE/ACM International Conference on Utility and Cloud Computing …, 2018 | 20 | 2018 |