Michal Tomczyk

According to our database, Michal Tomczyk authored at least 11 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Co-evolution improves the efficiency of preference learning methods when the Decision Maker's aspirations develop over time.

Michal Tomczyk, Milosz Kadzinski

Proceedings of the Genetic and Evolutionary Computation Conference, 2023

2022

Interactive co-evolutionary multiple objective optimization algorithms for finding consensus solutions for a group of Decision Makers.

Michal K. Tomczyk, Milosz Kadzinski

Inf. Sci., 2022

2021

Decomposition-based co-evolutionary algorithm for interactive multiple objective optimization.

Michal K. Tomczyk, Milosz Kadzinski

Inf. Sci., 2021

Interactive evolutionary multiple objective optimization algorithm using a fast calculation of holistic acceptabilities.

Michal K. Tomczyk, Milosz Kadzinski

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

2020

Decomposition-Based Interactive Evolutionary Algorithm for Multiple Objective Optimization.

Michal K. Tomczyk, Milosz Kadzinski

IEEE Trans. Evol. Comput., 2020

Preference-based cone contraction algorithms for interactive evolutionary multiple objective optimization.

Milosz Kadzinski, Michal K. Tomczyk, Roman Slowinski

Swarm Evol. Comput., 2020

On the elicitation of indirect preferences in interactive evolutionary multiple objective optimization.

Michal K. Tomczyk, Milosz Kadzinski

Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

2019

EMOSOR: Evolutionary multiple objective optimization guided by interactive stochastic ordinal regression.

Michal K. Tomczyk, Milosz Kadzinski

Comput. Oper. Res., 2019

Robust indicator-based algorithm for interactive evolutionary multiple objective optimization.

Michal K. Tomczyk, Milosz Kadzinski

Proceedings of the Genetic and Evolutionary Computation Conference, 2019

2018

Interactive Cone Contraction for Evolutionary Mutliple Objective Optimization.

Milosz Kadzinski, Michal K. Tomczyk, Roman Slowinski

Proceedings of the Advances in Data Analysis with Computational Intelligence Methods, 2018

2015

Using Ordinal Regression for Interactive Evolutionary Multiple Objective Optimization with Multiple Decision Makers.

Milosz Kadzinski, Michal Tomczyk

Proceedings of the Outlooks and Insights on Group Decision and Negotiation, 2015