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286 Y. Marinakis, M. Marinaki, M. Doumpos, N. Matsatsinis and C. Zopounidis, "A hybrid stochastic genetic–GRASP algorithm for clustering analysis," Operation. Res., vol. 8, no. 1, pp. 33-46, May 2008. doi:10.1007/s12351-008-0004-82015-11-18
287 E. Tsakirakis, M. Marinaki, and Y. Marinakis, “A hybrid variation Harmony Search algorithm for the Team Orienteering Problem with capacity limitations,” in Learning and Intelligent Optimization, vol 11968, Lecture Notes in Computer Science, N. Matsatsinis, Y. Marinakis, P. Pardalos, Eds., Cham, Switzerland: Springer Nature, 2020, pp. 146–156, doi: 10.1007/978-3-030-38629-0_12.2022-05-17
288 M. Marinaki and Y. Marinakis ," A hybridization of clonal selection algorithm with iterated local search and variable neighborhood search for the feature selection problem, Mem. Computing ,vol.7, no. 3, pp. 181-201,Sept. 2015.doi:10.1007/s12293-015-0161-22015-11-05
289 Y. Marinakis and M. Marinaki, “A Hybridized Particle Swarm Optimization with Expanding Neighborhood Topology for the Feature Selection Problem”, in 8th International Workshop, 2013, pp. 37-51. doi: 10.1007/978-3-642-38516-2_42015-10-28
290 N.N. Kourgialas, , and G.P. Karatzas,"A hydro-economic modelling framework for flood damage estimation and the role of riparian vegetation," Hydrological Processes, vol. 27, no. 4, pp. 515–531, Feb. 2013. doi: 10.1002/hyp.92562015-10-20
291 N.N. Kourgialas and G.P. Karatzas, "A hydro-sedimentary modeling system for flash flood propagation and hazard estimation under different agricultural practices," Natural Hazards and Earth System Sciences, vol. 14, pp. 625-634, Mar. 2014. doi:10.5194/nhess-14-625-2014 2015-10-20
292 S. Naoum, I. K. Tsanis, “A hydroinformatic approach to assess interpolation techniques in high spatial and temporal resolution”, Can. Water Res. Association, vol. 29 ,no. 1 ,pp. 23-46, 2004.doi:10.4296/cwrj232015-10-09
293 P. Delias, A.D. Doulamis, N.F. Matsatsinis .(2008).A Joint Optimization Algorithm for Dispatching Tasks in Agent-Based Workflow Management Systems.Presented at International Conference on Enterprise Information Systems ICEIS 2008 .[online].Available:http://www.researchgate.net/profile/Pavlos_Delias2/publication/215460189_A_Joint_Optimization_Algorithm_for_Dispatching_Tasks_in_Agent-based_Workflow_Management_Systems/links/004635224aa99dd71c000000.pdf 2015-11-03
294 A. Brintaki, S. Lai-Yuen, I.K. Nikolos. (June). A Kinematics and Evolutionary Approach for Modeling Molecular Conformations. Presented at IIE Annual Conference and Expo 2010. [Online]. Available: http://www.highbeam.com/doc/1P3-2093696531.html2015-11-04
295 A. Brintaki, S. Lai-Yuen, I.K. Nikolos, "A Kinematics Based Heuristic Approach to Minimize Molecular Conformational Search," in International CAD Conference, 2010. doi: 10.1080/16864360.2010.10738808 2015-11-05
296 A.N. Brintaki, S.K. Lai-Yuen, I.K. Nikolos, (2009). A kinematics-based Differential Evolution method for molecular conformational search. Presented at IEE 2009 Industrial Engineering Research Conference. [Online]. Available: http://www.highbeam.com/doc/1P3-1848735261.html2015-11-04
297 E. Steiakakis ,Z. Agioutantis ," Α kinetic behavior model at a surface lignite mine, based on geotechnical investigation ," Simul. Mod.Practice and Theory, vol.18, no. 5, pp. 558–573,2010.doi:10.1016/j.simpat.2009.12.0112015-10-20
298 N.F. Matsatsinis, N.M. More.(2000). A knowledge base for brand choice model selection.Presented at European Symposium on Intelligent Techniques.[online].Available:http://dina2000.gotoip2.com/news/UploadFiles/t12.pdf2015-11-03
299 N. Pappas, F. Kazasis, G. Anestis, N. Gioldasis and S. Christodoulakis, "A knowledge management platform for supporting digital Business ecosystems based on P2P and SOA technologies," in 2007 1st IEEE Int.Conf. on Digital Eco. and Tech., pp.196-202. doi :10.1109/DEST.2007.371972015-10-04
300 A. Sergaki and K. Kalaitzakis, "A knowledge management platform for supporting smart grids based on peer to peer and service oriented architecture technologies," in IEEE International Conference on Smart Measurements for Future Grids, 2011, pp. 154-159. doi: 10.1109/SMFG.2011.61257752015-11-09
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