Követés
Markus Hartikainen
Markus Hartikainen
Lead AI Scientist, Silo AI
E-mail megerősítve itt: silo.ai - Kezdőlap
Cím
Hivatkozott rá
Hivatkozott rá
Év
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), 1-25, 2015
872015
PAINT: Pareto front interpolation for nonlinear multiobjective optimization
M Hartikainen, K Miettinen, MM Wiecek
Computational optimization and applications 52 (3), 845-867, 2012
652012
Constructing a Pareto front approximation for decision making
M Hartikainen, K Miettinen, MM Wiecek
Mathematical Methods of Operations Research 73 (2), 209-234, 2011
402011
Simultaneous optimization of harvest schedule and measurement strategy
A Kangas, M Hartikainen, K Miettinen
Scandinavian journal of forest research 29 (sup1), 224-233, 2014
212014
PAINT–SiCon: constructing consistent parametric representations of Pareto sets in nonconvex multiobjective optimization
ME Hartikainen, A Lovison
Journal of Global Optimization 62 (2), 243-261, 2015
142015
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
112018
Interactive nonconvex pareto navigator for multiobjective optimization
M Hartikainen, K Miettinen, K Klamroth
European Journal of Operational Research 275 (1), 238-251, 2019
102019
Identifying objectives for a learning space management system with value-focused thinking.
A Alessandrini, A Cristea, M Hartikainen, H Isomäki, A Tuhkala
SciTePress 1, 25-34, 2017
82017
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
82011
Data-based forest management with uncertainties and multiple objectives
M Hartikainen, K Eyvindson, K Miettinen, A Kangas
International Workshop on Machine Learning, Optimization, and Big Data, 16-29, 2016
72016
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
72015
Simultaneous optimization of harvest schedule and data quality
A Kangas, M Hartikainen, K Miettinen
Canadian Journal of Forest Research 45 (8), 1034-1044, 2015
72015
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
62022
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
52019
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
42018
On Generalizing Lipschitz Global Methods for Multiobjective Optimization
A Lovison, ME Hartikainen
Evolutionary Multi-Criterion Optimization, 264-278, 2015
42015
Decision making on Pareto front approximations with inherent nondominance
M Hartikainen, K Miettinen, MM Wiecek
New State of MCDM in the 21st Century, 35-45, 2011
42011
Approximation through interpolation in nonconvex multiobjective optimization
M Hartikainen
Jyväskylä studies in computing, 2011
32011
A computationally inexpensive approach in multiobjective heat exchanger network synthesis
M Hartikainen, K Miettinen
Proceedings of the International Conference on Applied Operational Research …, 2010
32010
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
22020
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