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Department: Any ÅAU / Department of Information Technologies UTU / Department of Information Technology UTU / Department of Mathematics and Statistics UTU / Turku School of Economics, Institute of Information Systems Sciences

Research Unit: Any Algorithmics and Computational Intelligence Group (ACI) Biomathematics Research Unit (BIOMATH) Communication Systems (ComSys) Computational Biomodeling Laboratory (Combio Lab) Data Mining and Knowledge Management Laboratory Distributed Systems Laboratory (DS Lab) Embedded Computer and Electronic Systems (ECES) Embedded Systems Laboratory (ESLAB) FUNDIM, Fundamentals of Computing and Discrete Mathematics Institute for Advanced Management Systems Research (IAMSR) Learning and Reasoning Lab Software Construction Laboratorium Software Development Laboratory (SwDev) Software Engineering Laboratory (SE Lab) Turku BioNLP Group Turku Optimization Group (TOpGroup) UTU Information Systems Science (ISS)

Publication type: Any Monographs Edited books Edited special issues of journals Edited proceedings Articles in journals Articles in proceedings Chapters in edited books Ph.D. thesis Lic. thesis Technical reports

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Articles in journals (23):

• Vladimir Emelichev, Yury Nikulin, Vladimir Korotkov, Stability Analysis of Efficient Portfolios in a Discrete Variant of Multicriteria Investment Problem with Savage’s Risk Criteria. Computer Science Journal of Moldova 25(3 (75)), 303–328, 2017.
• Seppo Pulkkinen, Nonlinear Kernel Density Principal Component Analysis with Application to Climate Data. Statistics and Computing 26(1), 471–492, 2016.
• Kaisa Joki, Adil M. Bagiroc, Napsu Karmitsa, Marko M. Mäkelä, New Proximal Bundle Method for Nonsmooth DC Optimization. 1130, 2015.
• Vladimir Korotkov, Yury Nikulin, Vladimir Emelichev, Stability of the Bicriteria Boolean Investment Problem Subject to Extreme Optimism and Pessimism Criteria. Croational Operational Research Review 6, 195 –207., 2015.
• Seppo Pulkkinen, Ridge-Based Method for Finding Curvilinear Structures from Noisy Data. Computational Statistics and Data Analysis 82, 89–109, 2015.
• Seppo Pulkkinen, Finding Graph Embeddings by Incremental Low-Rank Semidefinite Programming. Optimization Methods and Software 30(5), 1050–1076, 2015.
• Vladimir Emelichev, Vladimir Korotkov, Yury Nikulin, Post Optimal Analysis for Markowitz's Multicriteria Portfolio Optimization Problem. Journal of Multi-Criteria Decision Analysis 21, 95–100, 2014.
• Seppo Pulkkinen, Marko M. Mäkelä, Napsu Karmitsa, A Generative Model and a Generalized Trust Region Newton Method for Noise Reduction. Computational Optimization and Applications 57(1), 129–165, 2014.
• Nikulin Yury, Karelkina Olga, Mäkelä Marko, On Accuracy, Robustness and Tolerances in Vector Boolean Optimization. European Journal of Operational Research 224, 449–457, 2013.
• Seppo Pulkkinen, Marko M. Mäkelä, Napsu Karmitsa, A Continuation Approach to Mode-Finding of Multivariate Gaussian Mixtures and Kernel Density Estimates. Journal of Global Optimization 56(2), 459–487, 2013.
• Emelichev Vladimir, Karelkina Olga, Kuzmin Kirill, Qualitative Stability Analysis of Multicriteria Combinatorial Minimin Problems. CONTROL AND CYBERNETICS 1, 57–79, 2012.
• Vladimir Emelichev, Volha Karelkina, Postoptimal Analysis of the Multicriteria Combinatorial Median Location Problem. OPTIMIZATION 61(9), 1151–1167, 2012.
• Marko Mäkelä, Yury Nikulin, Jozsef Mezei, A Note on Extended Characterization of Generalized Trade-Off Directions in Multiobjective Optimization . Journal of Convex Analysis 19, 91–111, 2012.
• Marko Mäkelä, Yury Nikulin, Jozsef Mezei, Generalizing Trade-Off Directions in Multiobjective Optimization. Control and Cybernetics 3, 561 – 576, 2012.
• Yury Nikulin, Zuhair Iftikhar, A Note on Different Modelling Approaches for the Robust Shortest Path Problem. International Journal of Mathematical Modelling and Numerical Optimisation 3(3), 141–157, 2012.
• Yury Nikulin, Kaisa Miettinen, Marko Mäkelä, A New Achievement Scalarizing Function Based on Parameterization in Multiobjective Optimization. OR Spectrum 34, 69–87, 2012.
• Joergen Bang-Jensen, Yury Nikulin, Heuristics for the central tree problem . Journal of Heuristics 16(5), 633–651, 2010.
• M. Marko Mäkelä, Stability and Accuracy Functions for a Multicriteria Boolean Linear Programming Problem with Parameterized Principle of Optimality “from Condorcet to Pareto”. European Journal of Operational Research 207(3), 1497–1505, 2010.
• Yury Nikulin, Andreas Drexl, Theoretical Aspects of Multicriteria Flight Gate Scheduling: Deterministic and Fuzzy Models. Journal of Scheduling 13(3), 261–280, 2010.
• Marko Mäkelä, Yury Nikulin, On Cone Characterizations of Strong and Lexicographic Optimality in Convex Multiobjective Optimization. Journal of Optimization Theory and Applications 143(3), 519–538 , 2009.
• Yury Nikulin, Stability and Accuracy Functions in a Coalition Game with Bans, Linear Payoffs and Antagonistic Strategies. Annals of Operations Research 172(1), 25–35 , 2009.
• Marko Mäkelä, Yury Nikulin, Properties of Efficient Solution Sets Under Addition of Objectives. Operations Research Letters 36(6), 718–721, 2008.
• Yury Nikulin, Simulated Annealing Algorithm for the Robust Spanning Tree Problem. Journal of Heuristics 14(4), 391–402, 2008.

Articles in proceedings (1):

• Vladimir Emelichev, Kiril Kuzmin, Yury Nikulin, Stability in Multicriteria MAXCUT Problem . In: M Khachai (Ed.), Mathematical Programming and Applications, 130–131, Institute of Mathematics and Mechanics, Ural Branch of the Russian Academy of Sciences.Ekaterinburg. , 2015.

Chapters in edited books (2):

• Outi Wilppu, Marko M. Mäkelä, Yury Nikulin, New Two-Slope Parameterized Achievement Scalarizing Functions for Nonlinear Multiobjective Optimization. In: Nicholas J. Daras, Themistocles M. Rassias (Eds.), Operations Research, Engineering, and Cyber Security, Optimization and Its Applications 113, 403–422, Springer, 2017.
• Yury Nikulin, Accuracy and Stability Functions for a Problem of Minimization a Linear Form on a Set of Substitutions. In: Yuri Sotskov, Frank Werner (Eds.), Sequencing and Scheduling with Inaccurate Data, 442, Nova Science Pub Inc , 2014.

TUCS General Series (1):

• Sepinoud Azimi, Joonas Jalonen, Jarkko Kari, Ion Petre (Eds.), Computability in Europe 2017, TUCS General Publication, 2017.

TUCS Lecture Notes (1):

• Jarkko Kari, Ilkka Törmä, Michal Szabados (Eds.), 21st International Workshop on Cellular Automata and Discrete Complex Systems – Exploratory Papers of AUTOMATA 2015, TUCS Lecture Notes, 2015.

Ph.D. thesis (6):

• Outi Montonen, On Multiobjective Optimization from the Nonsmooth Perspective. TUCS Dissertations 256. 2020.
• Noora Nieminen, Garbling Schemes and Applications. TUCS Dissertations 219. 2017.
• Jetro Vesti, Rich Words and Balanced Words. TUCS Dissertations 213. 2016.
• Charalampos Zinoviadis, Hierarchy and Expansiveness in Two-Dimensional Subshifts of Finite type. TUCS Dissertations 209. 2016.
• Ilkka Törmä, Structural and Computational Existence Results for Multidimensional Subshifts. TUCS Dissertations 200. 2015.
• Seppo Pulkkinen, Efficient Optimization Algorithms for Nonlinear Data Analysis. TUCS Dissertations 189. University of Turku, 2014.

Technical reports (42):

• Napsu Karmitsa, Sona Taheri, Kaisa Joki, Pauliina Mäkinen, Adil Bagirov, Marko M. Mäkelä, Hyperparameter Free NN Algorithm For Large-Scale Regression Problems. TUCS Technical Reports 1213, 2020.
• Tapio Westerlund, Ville-Pekka Eronen, Marko M. Mäkelä, Projected Extended Cutting Plane Method for Convex Mixed Integer Nonlinear Programming. TUCS Technical Reports 1210, 2020.
• Adil M. Bagirov, Sona Taheri, Kaisa Joki, Napsu Karmitsa, Marko M. Mäkelä, A New Subgradient Based Method for Nonsmooth DC Programming. TUCS Technical Reports 1201, Turku Centre for Computer Science, 2019.
• Outi Montonen, Timo Ranta, Marko M. Mäkelä, Scheduling the Disposal of the Spent Nuclear Fuel with Interactive Multiobjective Optimization. TUCS Technical Reports 1204, TUCS, 2019.
• Vladimir Emelichev, Yury Nikulin, T-1 Stability Measures for Multicriteria Quadratic Integer Programming Problem of Finding Extremum Solutions. TUCS Technical Reports 1194, TUCS, 2018.
• Napsu Karmitsa, Sona Taheri, Adil Bagirov, Pauliina Mäkinen, Clusterwise Linear Regression Based Missing Value Imputation of Data Preprocessing. TUCS Technical Reports 1193, University of Turku, 2018.
• Alaleh Maskooki, Yury Nikulin, Multiobjective Efficient Routing In a Dynamic Network. TUCS Technical Reports 1198, TUCS, 2018.
• Vladimir Emelichev, Yury Nikulin, Aspects of Stability for Multicriteria Quadratic Problems of Boolean Programming. TUCS Technical Reports 1188, TUCS, 2017.
• Vladimir Emelichev, Yury Nikulin, Stability of Extremum Solutions in Vector Quadratic Discrete Optimization. TUCS Technical Reports 1189, TUCS, 2017.
• Ville-Pekka Eronen, Jan Kronqvist, Tapio Westerlund, Marko M. Mäkelä, Napsu Karmitsa, Extended Supporting Hyperplane Algorithm for Generalized Convex Nonsmooth MINLP Problems. TUCS Technical Reports 1179, TUCS, 2017.
• Kaisa Joki, Adil M. Bagirov, Napsu Karmitsa, Marko M. Mäkelä, Sona Taheri, Double Bundle Method for Nonsmooth DC Optimization. TUCS Technical Reports 1173, TUCS, 2017.
• Kaisa Joki, Adil M. Bagirov, Napsu Karmitsa, Marko M. Mäkelä, Sona Taheri, New Bundle Method for Clusterwise Linear Regression Utilizing Support Vector Machines. TUCS Technical Reports 1190, TUCS, 2017.
• Napsu Karmitsa, Manlio Gaudioso, Kaisa Joki, Splitting Metrics Diagonal Bundle Method for Large-Scale Nonconvex Nonsmooth Optimization. TUCS Technical Reports 1178, TUCS, 2017.
• Outi Montonen, Kaisa Joki, Multiobjective Double Bundle Method for Nonsmooth Constrained Multiobjective DC Optimization. TUCS Technical Reports 1174, TUCS, 2017.
• Tapio Westerlund, Ville-Pekka Eronen, Marko M. Mäkelä, Using Supporting Hyperplane Techniques in Solving Generalized Convex MINLP Problems. TUCS Technical Reports 1186, TUCS, 2017.
• Vladimir Emelichev, Vadim Mychov, Yury Nikulin, Postoptimal Analysis for One Vector Venturesome Investment Problem. TUCS Technical Reports 1153, TUCS, 2016.