A mayfly optimization algorithm K Zervoudakis, S Tsafarakis Computers & Industrial Engineering 145, 106559, 2020 | 620 | 2020 |
A multiple criteria approach for airline passenger satisfaction measurement and service quality improvement S Tsafarakis, T Kokotas, A Pantouvakis Journal of air transport management 68, 61-75, 2018 | 216 | 2018 |
An Evaluation of the COVID-19 Pandemic and Perceived Social Distancing Policies in Relation to Planning, Selecting, and Preparing Healthy Meals: An Observational Study in 38 … CCSSG Charlotte De Backer, Lauranna Teunissen, Isabelle Cuykx, Paulien ... Frontiers in nutrition 7, 2020 | 99* | 2020 |
UTA-Rec: a recommender system based on multiple criteria analysis K Lakiotaki, S Tsafarakis, N Matsatsinis Proceedings of the 2008 ACM conference on Recommender systems, 219-226, 2008 | 84 | 2008 |
Particle swarm optimization for optimal product line design S Tsafarakis, Y Marinakis, N Matsatsinis International Journal of Research in Marketing 28 (1), 13-22, 2011 | 71 | 2011 |
Investigating the preferences of individuals on public transport innovations using the Maximum Difference Scaling method S Tsafarakis, P Gkorezis, D Nalmpantis, E Genitsaris, A Andronikidis, ... European Transport Research Review 11, 1-12, 2019 | 58 | 2019 |
Fuzzy self-tuning differential evolution for optimal product line design S Tsafarakis, K Zervoudakis, A Andronikidis, E Altsitsiadis European Journal of Operational Research 287 (3), 1161-1169, 2020 | 56 | 2020 |
Hybrid particle swarm optimization with mutation for optimizing industrial product lines: An application to a mixed solution space considering both discrete and continuous … S Tsafarakis, C Saridakis, G Baltas, N Matsatsinis Industrial Marketing Management 42 (4), 496-506, 2013 | 55 | 2013 |
A global optimizer inspired from the survival strategies of flying foxes K Zervoudakis, S Tsafarakis Engineering with Computers, 1-34, 2023 | 48 | 2023 |
Forming automatic groups of learners using particle swarm optimization for applications of differentiated instruction K Zervoudakis, K Mastrothanasis, S Tsafarakis Computer Applications in Engineering Education 28 (2), 282-292, 2020 | 31 | 2020 |
Consumer choice behaviour and new product development: an integrated market simulation approach S Tsafarakis, E Grigoroudis, N Matsatsinis Journal of the Operational Research Society 62 (7), 1253-1267, 2011 | 31 | 2011 |
Private labels and retail assortment planning: a differential evolution approach S Tsafarakis, C Saridakis, N Matsatsinis, G Baltas Annals of Operations Research 247, 677-692, 2016 | 21 | 2016 |
Biologically inspired approaches to strategic service design: optimal service diversification through evolutionary and swarm intelligence models G Baltas, S Tsafarakis, C Saridakis, N Matsatsinis Journal of Service Research 16 (2), 186-201, 2013 | 21 | 2013 |
Redesigning product lines in a period of economic crisis: a hybrid simulated annealing algorithm with crossover S Tsafarakis Annals of Operations Research 247, 617-633, 2016 | 19 | 2016 |
Clonal selection algorithms for optimal product line design: a comparative study M Pantourakis, S Tsafarakis, K Zervoudakis, E Altsitsiadis, A Andronikidis, ... European Journal of Operational Research 298 (2), 585-595, 2022 | 16 | 2022 |
Optimizing differentiation and commonality levels among models in car line-ups: An empirical application of a nature-inspired heuristic mechanism C Saridakis, S Tsafarakis, P Delias, G Baltas, N Matsatsinis Expert Systems with Applications 42 (5), 2323-2335, 2015 | 16 | 2015 |
Designing optimal products: Algorithms and systems S Tsafarakis, N Matsatsinis Marketing intelligent systems using soft computing: Managerial and research …, 2010 | 16 | 2010 |
The use of ICT during lockdown in higher education and the effects on university instructors E Krassadaki, S Tsafarakis, V Kapenis, N Matsatsinis Heliyon 8 (11), 2022 | 15 | 2022 |
Applications of MCDA in Marketing and e-Commerce S Tsafarakis, K Lakiotaki, N Matsatsinis Handbook of multicriteria analysis, 425-448, 2010 | 14 | 2010 |
A new hybrid firefly–genetic algorithm for the optimal product line design problem K Zervoudakis, S Tsafarakis, S Paraskevi-Panagiota Learning and Intelligent Optimization: 13th International Conference, LION …, 2020 | 10 | 2020 |