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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 (9):

• Kaisa Joki, Adil M. Bagiroc, Napsu Karmitsa, Marko M. Mäkelä, New Proximal Bundle Method for Nonsmooth DC Optimization. 1130, 2015.
• Ville-Pekka Eronen, Marko M. Mäkelä, Tomi Westerlund, On the Generalization of ECP and OA Methods to Nonsmooth Convex MINLP Problems. Optimization 63(7), 1057–1073, 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.
• 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.
• 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, Kaisa Miettinen, Marko Mäkelä, A New Achievement Scalarizing Function Based on Parameterization in Multiobjective Optimization. OR Spectrum 34, 69–87, 2012.
• 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.
• Marko Mäkelä, Yury Nikulin, Properties of Efficient Solution Sets Under Addition of Objectives. Operations Research Letters 36(6), 718–721, 2008.

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.
• Marko M. Mäkelä, Ville-Pekka Eronen, Napsu Karmitsa, On Nonsmooth Multiobjective Optimality Conditions with Generalized Convexities. In: Optimization in Science and Engineering: In Honor of the 60th Birthday of Panos M. Pardalos, 333–357, Springer, 2014.

Technical reports (31):

• 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.
• 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.
• Tapio Westerlund, Ville-Pekka Eronen, Marko M. Mäkelä, Using Supporting Hyperplane Techniques in Solving Generalized Convex MINLP Problems. TUCS Technical Reports 1186, TUCS, 2017.
• Kaisa Joki, Adil M. Bagirov, Napsu Karmitsa, Marko M. Mäkelä, New Proximal Bundle Method for Nonsmooth DC Optimization. TUCS Technical Reports 1130, TUCS, 2015.
• Marko M. Mäkelä, Napsu Karmitsa, Outi Wilppu, Multiobjective Proximal Bundle Method for Nonsmooth Optimization. TUCS Technical Reports 1120, TUCS, 2014.
• Outi Wilppu, Napsu Karmitsa, Marko M. Mäkelä, New Multiple Subgradient Descent Bundle Method for Nonsmooth Multiobjective Optimization. TUCS Technical Reports 1126, TUCS, 2014.
• Outi Wilppu, Marko M. Mäkelä, Yury Nikulin, Two-Slope Parameterized Achievement Scalarizing Functions for Multiobjective Optimization. TUCS Technical Reports 1114, TUCS, 2014.
• Sergii Pidlisnyi, Marko M. Mäkelä, Yuri Nikulin, Effects of Implementation Quasiinvertion and Optimization Methods for Nonlinear Boundary Inverse Heat Conduction Problems. TUCS Technical Reports 1083, TUCS, 2013.
• Ville-Pekka Eronen, Marko M. Mäkelä, Tapio Westerlund, Nonsmooth Extended Cutting Plane Method for Generally Convex MINLP Problems. TUCS Technical Reports 1055, TUCS, 2012.
• Sami Hokuni, Kaisa Joki, Sari Yli-Sipilä, Marko M. Mäkelä, Yury Nikulin, Minimum Spanning Tree Problem with Fuzzy Intervals. TUCS Technical Reports 1048, TUCS, 2012.
• Marko M. Mäkelä, Ville-Pekka Eronen, Napsu Karmitsa, On Nonsmooth Optimality Conditions with Generalized Convexities. TUCS Technical Reports 1056, TUCS, 2012.
• Seppo Pulkkinen, Marko M. Mäkelä, Napsu Karmitsa, Integral Transformation for Box-Constrained Global Optimization of Decomposable Functions. TUCS Technical Reports 1036, Turku Centre for Computer Science, 2012.
• Seppo Pulkkinen, Marko M. Mäkelä, Napsu Karmitsa, A Generalized Trust Region Newton Method Applied to Noise Reduction. TUCS Technical Reports 1061, TUCS, 2012.
• Olga Karelkina, Yury Nikulin, Marko M. Mäkelä, An Adaptation of NSGA-2 to the Stability Radius Calculation for Shortest Path Problem. TUCS Technical Reports 1017, Turku Centre for Computer Science, 2011.
• Yury Nikulin, Marko M. Mäkelä, Olga Karelkina, Accuracy Functions and Robustness Tolerances Under the Game Theoretic Framework. TUCS Technical Reports 1013, Turku Centre for Computer Science, 2011.
• Seppo Pulkkinen, Marko M. Mäkelä, Napsu Karmitsa, A Continuation Approach to Global Minimization of Gaussian RBF Models. TUCS Technical Reports 998, Turku Centre for Computer Science, 2011.
• Ville-Pekka Eronen, Marko M. Mäkelä, Tapio Westerlund, On Convex Nonsmooth MINLP. TUCS Technical Reports 988, Turku Centre for Computer Science, 2010.
• Marko M. Mäkelä, Napsu Karmitsa, Ville-Pekka Eronen, On Generalized Pseudo- and Quasiconvexity for Nonsmooth Functions. TUCS Technical Reports 989, Turku Centre for Computer Science, 2010.
• Marko M. Mäkelä, Yury Nikulin, Joszef Mezei, Extended Characterization of Generalized Trade-Off Directions in Multiobjective Optimization. TUCS Technical Reports 984, Turku Centre for Computer Science, 2010.
• Yury Nikulin, Kaisa Miettinen, Marko M. Mäkelä, A Parameterized Achievement Scalarizing Function for Multiobjective Optimization. TUCS Technical Reports 969, Turku Centre for Computer Science, 2010.
• Napsu Karmitsa, Adil Bagirov, Marko M. Mäkelä, Empirical and Theoretical Comparisons of Several Nonsmooth Minimization Methods and Software. TUCS Technical Reports 959, Turku Centre for Computer Science, 2009.
• Marko M. Mäkelä, Yury Nikulin, József Mezei, On Generalized Trade-Off Directions for Basic Optimality Principles in Convex and Nonconvex Multiobjective Optimization. TUCS Technical Reports 940, Turku Centre for Computer Science, 2009.
• Yury Nikulin, Marko M. Mäkelä, Nonconvex Multiobjective Programming: Geometry via Cones. TUCS Technical Reports 931, Turku Centre for Computer Science, 2009.
• Napsu Karmitsa, Marko M. Mäkelä, Globally Convergent Limited Memory Bundle Algorithm for Nondifferentiable Programming subject to Box Constraints. TUCS Technical Reports 882, Turku Centre for Computer Science, 2008.
• Marko M. Mäkelä, Yury Nikulin, Geometrical Optimality Conditions for Strongly and Lexicographically Optimal Solutions in Convex Multicriteria Programming. TUCS Technical Reports 920, Turku Centre for Computer Science, 2008.
• Yury Nikulin, Marko M. Mäkelä, Quantitative Measures of Solution Robustness in a Parametrized Multicriteria Zero-One Linear Programming Problem. TUCS Technical Reports 917, Turku Centre for Computer Science, 2008.