Markus Hartikainen
Markus Hartikainen
Lead AI Scientist, Silo AI
Verified email at - Homepage
Cited by
Cited by
A survey on handling computationally expensive multiobjective optimization problems using surrogates: non-nature inspired methods
M Tabatabaei, J Hakanen, M Hartikainen, K Miettinen, K Sindhya
Structural and Multidisciplinary Optimization 52, 1-25, 2015
PAINT: Pareto front interpolation for nonlinear multiobjective optimization
M Hartikainen, K Miettinen, MM Wiecek
Computational optimization and applications 52, 845-867, 2012
Constructing a Pareto front approximation for decision making
M Hartikainen, K Miettinen, MM Wiecek
Mathematical Methods of Operations Research 73, 209-234, 2011
Simultaneous optimization of harvest schedule and measurement strategy
A Kangas, M Hartikainen, K Miettinen
Scandinavian journal of forest research 29 (sup1), 224-233, 2014
Sectoral policies cause incoherence in forest management and ecosystem service provisioning
C Blattert, K Eyvindson, M Hartikainen, D Burgas, M Potterf, J Lukkarinen, ...
Forest Policy and Economics 136, 102689, 2022
PAINT–SiCon: constructing consistent parametric representations of Pareto sets in nonconvex multiobjective optimization
ME Hartikainen, A Lovison
Journal of Global Optimization 62, 243-261, 2015
Integrating risk management tools for regional forest planning: an interactive multiobjective value-at-risk approach
K Eyvindson, M Hartikainen, K Miettinen, A Kangas
Canadian Journal of Forest Research 48 (7), 766-773, 2018
Interactive nonconvex pareto navigator for multiobjective optimization
M Hartikainen, K Miettinen, K Klamroth
European Journal of Operational Research 275 (1), 238-251, 2019
Identifying objectives for a learning space management system with value-focused thinking
A Tuhkala, H Isomäki, M Hartikainen, AI Cristea, A Alessandrini
Proceedings of the 9th International Conference on Computer Supported …, 2017
Data-based forest management with uncertainties and multiple objectives
M Hartikainen, K Eyvindson, K Miettinen, A Kangas
Machine Learning, Optimization, and Big Data: Second International Workshop …, 2016
Simultaneous optimization of harvest schedule and data quality
A Kangas, M Hartikainen, K Miettinen
Canadian Journal of Forest Research 45 (8), 1034-1044, 2015
Pareto front approximations for decision making with inherent non-dominance
M Hartikainen, K Miettinen, MM Wiecek
New State of MCDM in the 21st Century, Selected Papers of the 20th …, 2011
Applying the approximation method PAINT and the interactive method NIMBUS to the multiobjective optimization of operating a wastewater treatment plant
ME Hartikainen, V Ojalehto, K Sahlstedt
Engineering Optimization 47 (3), 328-346, 2015
ANOVA-MOP: ANOVA decomposition for multiobjective optimization
M Tabatabaei, A Lovison, M Tan, M Hartikainen, K Miettinen
SIAM Journal on Optimization 28 (4), 3260-3289, 2018
An interactive surrogate-based method for computationally expensive multiobjective optimisation
M Tabatabaei, M Hartikainen, K Sindhya, J Hakanen, K Miettinen
Journal of the Operational Research Society 70 (6), 898-914, 2019
Potential of interactive multiobjective optimization in supporting the design of a groundwater biodenitrification process
G Saccani, J Hakanen, K Sindhya, V Ojalehto, M Hartikainen, M Antonelli, ...
Journal of environmental management 254, 109770, 2020
On Generalizing Lipschitz Global Methods for Multiobjective Optimization
A Lovison, ME Hartikainen
Evolutionary Multi-Criterion Optimization, 264-278, 2015
Decision making on Pareto front approximations with inherent nondominance
M Hartikainen, K Miettinen, MM Wiecek
New State of MCDM in the 21st Century: Selected Papers of the 20th …, 2011
Approximation through interpolation in nonconvex multiobjective optimization
M Hartikainen
Jyväskylä studies in computing, 2011
A computationally inexpensive approach in multiobjective heat exchanger network synthesis
M Hartikainen, K Miettinen
Proceedings of the International Conference on Applied Operational Research …, 2010
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