Michal K. Tomczyk

12 papers A 3Journal 8Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Efficient preference learning algorithm for interactive evolutionary multi-objective optimization.
Swarm Evol. Comput.
Michal K. Tomczyk, Milosz Kadzinski
2025 J jnl
JECDM: A Java framework for Evolutionary Computation and Decision-Making.
SoftwareX
Michal K. Tomczyk, Milosz Kadzinski
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
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
2021 J jnl
Decomposition-based co-evolutionary algorithm for interactive multiple objective optimization.
Inf. Sci.
Michal K. Tomczyk, Milosz Kadzinski
2021 A conf
Interactive evolutionary multiple objective optimization algorithm using a fast calculation of holistic acceptabilities.
GECCO
Michal K. Tomczyk, Milosz Kadzinski
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-based cone contraction algorithms for interactive evolutionary multiple objective optimization.
Swarm Evol. Comput.
Milosz Kadzinski, Michal K. Tomczyk, Roman Slowinski
2019 J jnl
EMOSOR: Evolutionary multiple objective optimization guided by interactive stochastic ordinal regression.
Comput. Oper. Res.
Michal K. Tomczyk, Milosz Kadzinski
2019 A conf
Robust indicator-based algorithm for interactive evolutionary multiple objective optimization.
GECCO
Michal K. Tomczyk, 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