Milosz Kadzinski

88 papers A 5Journal 76Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Modular Simos-Roy-Figueira framework for tailored weight elicitation in multi-criteria decision aiding.
Expert Syst. Appl.
River Huang, Milosz Kadzinski, José Rui Figueira, Salvatore Corrente, Eleftherios Siskos, Peter Burgherr
2026 J jnl
A Probabilistic preference learning approach for multiple criteria ranking in dynamic decision context.
Eur. J. Oper. Res.
Siyuan Zhao, Jiapeng Liu, Milosz Kadzinski, Xiuwu Liao, Yao Wang
2026 J jnl
Efficient preference learning algorithm for interactive evolutionary multi-objective optimization.
Swarm Evol. Comput.
Michal K. Tomczyk, Milosz Kadzinski
2026 J jnl
Fifty years of multi-objective optimization and decision-making: From mathematical programming to evolutionary computation.
Eur. J. Oper. Res.
Matthias Ehrgott, Murat Köksalan, Milosz Kadzinski, Kalyanmoy Deb
2026 J jnl
Learning user preferences in livestreaming market: A graphical model considering temporal effect.
Decis. Support Syst.
Qingyuan Lin, Yijun Li, Milosz Kadzinski, Mengzhuo Guo
2025 J jnl
A Bayesian network approach for dynamic behavior analysis: Real-time intention recognition.
Inf. Fusion
Jiaxuan Jiang, Jiapeng Liu, Milosz Kadzinski, Xiuwu Liao
2025 J jnl
Data-driven preference learning methods for sorting problems with multiple temporal criteria.
Eur. J. Oper. Res.
Yijun Li, Mengzhuo Guo, Milosz Kadzinski, Qingpeng Zhang, Chenxi Xu
2025 J jnl
Integrating Response Time and Attention Duration in Bayesian Preference Learning for Multiple Criteria Decision Aiding.
CoRR
Jiaxuan Jiang, Jiapeng Liu, Milosz Kadzinski, Xiuwu Liao, Jingyu Dong
2025 J jnl
JECDM: A Java framework for Evolutionary Computation and Decision-Making.
SoftwareX
Michal K. Tomczyk, Milosz Kadzinski
2025 — conf
New evolutionary methods for solving single- and multi-objective political redistricting problems: The context of Poland.
GECCO Companion
Michal Tomczyk, Milosz Kadzinski
2025 J jnl
Ordinal regression meets online learning: Interactive preference learning for multiple criteria choice and ranking with provable guarantees.
Eur. J. Oper. Res.
Marco Grillo, Wojciech Kotlowski, Milosz Kadzinski
2025 J jnl
Preference Construction: A Bayesian Interactive Preference Elicitation Framework Based on Monte Carlo Tree Search.
CoRR
Yan Wang, Jiapeng Liu, Milosz Kadzinski, Xiuwu Liao
2024 J jnl
Attaining robust performance targets in data envelopment analysis with application to efficiency evaluation of airports.
Comput. Ind. Eng.
Dariusz Grynia, Milosz Kadzinski, Mladen Stamenkovic
2024 J jnl
Deep dive into RNA: a systematic literature review on RNA structure prediction using machine learning methods.
Artif. Intell. Rev.
Michal Budnik, Jakub Wawrzyniak, Lukasz Grala, Milosz Kadzinski, Natalia Szostak
2024 J jnl
Evolutionary algorithms for solving single- and multiple-objective political redistricting problems: The case study of Poland.
Appl. Soft Comput.
Michal K. Tomczyk, Milosz Kadzinski
2024 — conf
Interactive tool for visualizing the comprehensive performance of evolutionary multi-objective algorithms applied to problems with two or three objectives.
GECCO Companion
Michal Tomczyk, Milosz Kadzinski
2024 A conf
Nature-inspired Preference Learning Algorithms Using the Choquet Integral.
GECCO
Michal Wójcik, Milosz Kadzinski
2024 J jnl
Outranking-based approaches for multiple criteria partially ordered clustering: A review of existing algorithms, new proposals, and experimental comparison.
Inf. Sci.
Dariusz Grynia, Klaudia Dobrogojska, Milosz Kadzinski
2024 J jnl
robustDEA: A Java library for robust efficiency analysis.
SoftwareX
Anna Labijak-Kowalska, Milosz Kadzinski
2023 A conf
Co-evolution improves the efficiency of preference learning methods when the Decision Maker's aspirations develop over time.
GECCO
Michal Tomczyk, Milosz Kadzinski
2023 J jnl
Deep preference learning for multiple criteria decision analysis.
Eur. J. Oper. Res.
Krzysztof Martyn, Milosz Kadzinski
2023 J jnl
Exact and stochastic methods for robustness analysis in the context of Imprecise Data Envelopment Analysis.
Oper. Res.
Anna Labijak-Kowalska, Milosz Kadzinski
2023 — conf
Metaphor-based algorithms for learning the preference model parameters of FlowSort from large sets of assignment examples.
GECCO Companion
Adam Handke, Damian Józwiak, Piotr Kaminski, Michal Wisniewski, Milosz Kadzinski
2023 J jnl
Modeling Contingent Decision Behavior: A Bayesian Nonparametric Preference-Learning Approach.
INFORMS J. Comput.
Jiapeng Liu, Milosz Kadzinski, Xiuwu Liao
2023 J jnl
Performance evaluation of emergency department physicians using robust value-based additive efficiency model.
Int. Trans. Oper. Res.
Anna Labijak-Kowalska, Milosz Kadzinski, Inga Spychala, Luis C. Dias, Javier Fiallos, Jonathan Patrick, Wojtek Michalowski, Ken Farion
2023 J jnl
Preface to the Special Issue on Decision Support: Combining Technology and Algorithms to Solve Complex Problems.
Int. Trans. Oper. Res.
Milosz Kadzinski, Rudolf Vetschera, Pascale Zaraté
2023 J jnl
Probabilistic ordinal regression methods for multiple criteria sorting admitting certain and uncertain preferences.
Eur. J. Oper. Res.
Zice Ru, Jiapeng Liu, Milosz Kadzinski, Xiuwu Liao
2023 J jnl
Selection of a representative sorting model in a preference disaggregation setting: A review of existing procedures, new proposals, and experimental comparison.
Knowl. Based Syst.
Michal Wójcik, Milosz Kadzinski, Krzysztof Ciomek
2022 J jnl
Bayesian ordinal regression for multiple criteria choice and ranking.
Eur. J. Oper. Res.
Zice Ru, Jiapeng Liu, Milosz Kadzinski, Xiuwu Liao
2022 J jnl
Embedding carbon impact assessment in multi-criteria supplier segmentation using ELECTRE TRI-rC.
Ann. Oper. Res.
Jafar Rezaei, Milosz Kadzinski, Chrysoula Vana, Lori Tavasszy
2022 J jnl
Interactive co-evolutionary multiple objective optimization algorithms for finding consensus solutions for a group of Decision Makers.
Inf. Sci.
Michal K. Tomczyk, Milosz Kadzinski
2022 J jnl
Learning the parameters of an outranking-based sorting model with characteristic class profiles from large sets of assignment examples.
Appl. Soft Comput.
Milosz Kadzinski, Adam Szczepanski
2022 J jnl
Proper and improper uses of MCDA methods in energy systems analysis.
Decis. Support Syst.
Marco Cinelli, Peter Burgherr, Milosz Kadzinski, Roman Slowinski
2022 J jnl
Recommending multiple criteria decision analysis methods with a new taxonomy-based decision support system.
Eur. J. Oper. Res.
Marco Cinelli, Milosz Kadzinski, Grzegorz Miebs, Michael Gonzalez, Roman Slowinski
2022 J jnl
Selection of a representative sorting model in a preference disaggregation setting: a review of existing procedures, new proposals, and experimental comparison.
CoRR
Michal Wójcik, Milosz Kadzinski, Krzysztof Ciomek
2021 J jnl
Active learning strategies for interactive elicitation of assignment examples for threshold-based multiple criteria sorting.
Eur. J. Oper. Res.
Milosz Kadzinski, Krzysztof Ciomek
2021 J jnl
Data-Driven Preference Learning Methods for Value-Driven Multiple Criteria Sorting with Interacting Criteria.
INFORMS J. Comput.
Jiapeng Liu, Milosz Kadzinski, Xiuwu Liao, Xiaoxin Mao
2021 J jnl
Decomposition-based co-evolutionary algorithm for interactive multiple objective optimization.
Inf. Sci.
Michal K. Tomczyk, Milosz Kadzinski
2021 J jnl
Enriched preference modeling and robustness analysis for the ELECTRE Tri-B method.
Ann. Oper. Res.
Milosz Kadzinski, Magdalena Martyn
2021 J jnl
Experimental comparison of results provided by ranking methods in Data Envelopment Analysis.
Expert Syst. Appl.
Anna Labijak-Kowalska, Milosz Kadzinski
2021 J jnl
Heuristic algorithms for aggregation of incomplete rankings in multiple criteria group decision making.
Inf. Sci.
Grzegorz Miebs, Milosz Kadzinski
2021 A conf
Interactive evolutionary multiple objective optimization algorithm using a fast calculation of holistic acceptabilities.
GECCO
Michal K. Tomczyk, Milosz Kadzinski
2021 J jnl
Preference disaggregation method for value-based multi-decision sorting problems with a real-world application in nanotechnology.
Knowl. Based Syst.
Milosz Kadzinski, Krzysztof Martyn, Marco Cinelli, Roman Slowinski, Salvatore Corrente, Salvatore Greco
2021 J jnl
Recommending Multiple Criteria Decision Analysis Methods with A New Taxonomy-based Decision Support System.
CoRR
Marco Cinelli, Milosz Kadzinski, Grzegorz Miebs, Michael Gonzalez, Roman Slowinski
2020 J jnl
A preference learning framework for multiple criteria sorting with diverse additive value models and valued assignment examples.
Eur. J. Oper. Res.
Jiapeng Liu, Milosz Kadzinski, Xiuwu Liao, Xiaoxin Mao, Yao Wang
2020 J jnl
Contingent preference disaggregation model for multiple criteria sorting problem.
Eur. J. Oper. Res.
Milosz Kadzinski, Mohammad Ghaderi, Maciej Dabrowski
2020 J jnl
Decomposition-Based Interactive Evolutionary Algorithm for Multiple Objective Optimization.
IEEE Trans. Evol. Comput.
Michal K. Tomczyk, Milosz Kadzinski
2020 A conf
On the elicitation of indirect preferences in interactive evolutionary multiple objective optimization.
GECCO
Michal K. Tomczyk, Milosz Kadzinski
2020 J jnl
Preference disaggregation for multiple criteria sorting with partial monotonicity constraints: Application to exposure management of nanomaterials.
Int. J. Approx. Reason.
Milosz Kadzinski, Krzysztof Martyn, Marco Cinelli, Roman Slowinski, Salvatore Corrente, Salvatore Greco
2020 J jnl
Preference-based cone contraction algorithms for interactive evolutionary multiple objective optimization.
Swarm Evol. Comput.
Milosz Kadzinski, Michal K. Tomczyk, Roman Slowinski
2020 J jnl
Using a segmenting description approach in multiple criteria decision aiding.
Expert Syst. Appl.
Milosz Kadzinski, Jan Badura, José Rui Figueira
2019 J jnl
A preference learning framework for multiple criteria sorting with diverse additive value models and valued assignment examples.
CoRR
Jiapeng Liu, Milosz Kadzinski, Xiuwu Liao, Xiaoxin Mao, Yao Wang
2019 J jnl
Data-driven preference learning methods for value-driven multiple criteria sorting with interacting criteria.
CoRR
Jiapeng Liu, Milosz Kadzinski, Xiuwu Liao, Xiaoxin Mao
2019 J jnl
EMOSOR: Evolutionary multiple objective optimization guided by interactive stochastic ordinal regression.
Comput. Oper. Res.
Michal K. Tomczyk, Milosz Kadzinski
2019 J jnl
Preference disaggregation within the regularization framework for sorting problems with multiple potentially non-monotonic criteria.
Eur. J. Oper. Res.
Jiapeng Liu, Xiuwu Liao, Milosz Kadzinski, Roman Slowinski
2019 A conf
Robust indicator-based algorithm for interactive evolutionary multiple objective optimization.
GECCO
Michal K. Tomczyk, Milosz Kadzinski
2019 J jnl
Using a Segmenting Description approach in Multiple Criteria Decision Aiding.
CoRR
Milosz Kadzinski, Jan Badura, José Rui Figueira
2018 J jnl
Co-constructive development of a green chemistry-based model for the assessment of nanoparticles synthesis.
Eur. J. Oper. Res.
Milosz Kadzinski, Marco Cinelli, Krzysztof Ciomek, Stuart R. Coles, Mallikarjuna N. Nadagouda, Rajender S. Varma, Kerry Kirwan
2018 J jnl
Feature cluster: Learning perspectives in Multiple Criteria Decision Analysis.
Eur. J. Oper. Res.
Salvatore Greco, Milosz Kadzinski
2018 — conf
Interactive Cone Contraction for Evolutionary Mutliple Objective Optimization.
Advances in Data Analysis with Computational Intelligence Methods
Milosz Kadzinski, Michal K. Tomczyk, Roman Slowinski
2018 J jnl
Predictive analytics and disused railways requalification: Insights from a Post Factum Analysis perspective.
Decis. Support Syst.
Krzysztof Ciomek, Valentina Ferretti, Milosz Kadzinski
2017 J jnl
Expressiveness and robustness measures for the evaluation of an additive value function in multiple criteria preference disaggregation methods: An experimental analysis.
Comput. Oper. Res.
Milosz Kadzinski, Mohammad Ghaderi, Jakub Wasikowski, Núria Agell
2017 J jnl
Heuristics for selecting pair-wise elicitation questions in multiple criteria choice problems.
Eur. J. Oper. Res.
Krzysztof Ciomek, Milosz Kadzinski, Tommi Tervonen
2016 — ch.
Dominance-Based Rough Set Approach to Multiple Criteria Ranking with Sorting-Specific Preference Information.
Challenges in Computational Statistics and Data Mining
Milosz Kadzinski, Roman Slowinski, Marcin Szelag
2016 J jnl
Inducing probability distributions on the set of value functions by Subjective Stochastic Ordinal Regression.
Knowl. Based Syst.
Salvatore Corrente, Salvatore Greco, Milosz Kadzinski, Roman Slowinski
2016 J jnl
Integrated framework for preference modeling and robustness analysis for outranking-based multiple criteria sorting with ELECTRE and PROMETHEE.
Inf. Sci.
Milosz Kadzinski, Krzysztof Ciomek
2016 J jnl
Post factum analysis for robust multiple criteria ranking and sorting.
J. Glob. Optim.
Milosz Kadzinski, Krzysztof Ciomek, Pawel Rychly, Roman Slowinski
2016 J jnl
Robustness analysis for decision under uncertainty with rule-based preference model.
Inf. Sci.
Milosz Kadzinski, Roman Slowinski, Salvatore Greco
2016 J jnl
Scoring procedures for multiple criteria decision aiding with robust and stochastic ordinal regression.
Comput. Oper. Res.
Milosz Kadzinski, Marcin Michalski
2015 J jnl
Modeling assignment-based pairwise comparisons within integrated framework for value-driven multiple criteria sorting.
Eur. J. Oper. Res.
Milosz Kadzinski, Krzysztof Ciomek, Roman Slowinski
2015 J jnl
Multiple criteria ranking and choice with all compatible minimal cover sets of decision rules.
Knowl. Based Syst.
Milosz Kadzinski, Roman Slowinski, Salvatore Greco
2015 J jnl
Parametric evaluation of research units with respect to reference profiles.
Decis. Support Syst.
Milosz Kadzinski, Roman Slowinski
2015 — conf
Using Ordinal Regression for Interactive Evolutionary Multiple Objective Optimization with Multiple Decision Makers.
GDN
Milosz Kadzinski, Michal Tomczyk
2014 J jnl
Preferential reducts and constructs in robust multiple criteria ranking and sorting.
OR Spectr.
Milosz Kadzinski, Salvatore Corrente, Salvatore Greco, Roman Slowinski
2014 — conf
Robust Ordinal Regression for Dominance-Based Rough Set Approach under Uncertainty.
RSEISP
Roman W. Slowinski, Milosz Kadzinski, Salvatore Greco
2014 J jnl
Robust Ordinal Regression for Dominance-based Rough Set Approach to multiple criteria sorting.
Inf. Sci.
Milosz Kadzinski, Salvatore Greco, Roman Slowinski
2013 J jnl
DIS-CARD: a new method of multiple criteria sorting to classes with desired cardinality.
J. Glob. Optim.
Milosz Kadzinski, Roman Slowinski
2013 J jnl
Robust multi-criteria ranking with additive value models and holistic pair-wise preference statements.
Eur. J. Oper. Res.
Milosz Kadzinski, Tommi Tervonen
2013 J jnl
Robust ordinal regression in preference learning and ranking.
Mach. Learn.
Salvatore Corrente, Salvatore Greco, Milosz Kadzinski, Roman Slowinski
2013 J jnl
Stochastic ordinal regression for multiple criteria sorting problems.
Decis. Support Syst.
Milosz Kadzinski, Tommi Tervonen
2012 J jnl
Interactive Robust Cone Contraction Method for Multiple Objective Optimization Problems.
Int. J. Inf. Technol. Decis. Mak.
Milosz Kadzinski, Roman Slowinski
2012 J jnl
Robust ordinal regression for multiple criteria group decision: UTA
Decis. Support Syst.
Salvatore Greco, Milosz Kadzinski, Vincent Mousseau, Roman Slowinski
2012 J jnl
Selection of a representative set of parameters for robust ordinal regression outranking methods.
Comput. Oper. Res.
Milosz Kadzinski, Salvatore Greco, Roman Slowinski
2012 J jnl
Selection of a representative value function in robust multiple criteria ranking and choice.
Eur. J. Oper. Res.
Milosz Kadzinski, Salvatore Greco, Roman Slowinski
2011 J jnl
ELECTRE
Eur. J. Oper. Res.
Salvatore Greco, Milosz Kadzinski, Vincent Mousseau, Roman Slowinski
2011 J jnl
Selection of a representative value function in robust multiple criteria sorting.
Comput. Oper. Res.
Salvatore Greco, Milosz Kadzinski, Roman Slowinski
2010 J jnl
Studying the impact of a single dose of methadone on the ability of psychomotor function in opioid-addicted individuals on methadone maintenance.
Bio Algorithms Med Syst.
Krzysztof Wlodarczyk, Paulina Andryszak, Wojciech Lason, Piotr Walecki, Milosz Kadzinski, Marcin Ziolkowski, Slawomir Biedrzycki, Edward Jacek Gorzelanczyk
2010 J jnl
Usage of the graphics tablet to study of impact of a single dose of methadone on the ability of psychographomotor function in opioid-addicted individuals on methadone maintenance.
Bio Algorithms Med Syst.
Wojciech Lason, Piotr Walecki, Paulina Andryszak, Krzysztof Wlodarczyk, Slawomir Biedrzycki, Marcin Ziolkowski, Milosz Kadzinski, Edward Jacek Gorzelanczyk