Krzysztof Michalak

75 papers A 6B 12C 12Misc 1Journal 20Unranked 23
YearRankTypeTitle / Venue / Authors
2025 B conf
Crossover Meta-Operator Based on Operator Sequences for the Firefighter Problem.
KES
Krzysztof Michalak
2025 — conf
Genetic Programming Algorithm with a Fast Logical Search for Analyzing Graph Contagion.
GECCO Companion
Krzysztof Michalak
2025 — conf
Knowledge-based Optimization in Epidemics Prevention.
GECCO Companion
Krzysztof Michalak
2025 J jnl
Knowledge-based optimization in epidemics prevention.
Soft Comput.
Krzysztof Michalak
2025 B conf
Visual Analysis of Evolutionary Search for Explainable Models of Epidemic Propagation.
KES
Krzysztof Michalak
2024 J jnl
Evolutionary algorithm with a regression model for multiobjective minimization of systemic risk in financial systems.
Soft Comput.
Krzysztof Michalak
2024 J jnl
Predicting Multiple Outcomes Associated with Frailty based on Imbalanced Multi-label Classification.
J. Heal. Informatics Res.
Adane Nega Tarekegn, Krzysztof Michalak, Giuseppe Costa, Fulvio Ricceri, Mario Giacobini
2023 A conf
Channel Configuration for Neural Architecture: Insights from the Search Space.
GECCO
Sarah L. Thomson, Gabriela Ochoa, Nadarajen Veerapen, Krzysztof Michalak
2023 — conf
Classifier-based evolutionary multiobjective optimization for the graph protection problem: Hot-off-the-Press Track at GECCO 2023.
GECCO Companion
Krzysztof Michalak
2023 J jnl
Does the default pecking order impact systemic risk? Evidence from Brazilian data.
Eur. J. Oper. Res.
Michel Alexandre, Thiago Christiano Silva, Krzysztof Michalak, Francisco Aparecido Rodrigues
2023 C conf
Evolutionary Algorithms with Machine Learning Models for Multiobjective Optimization in Epidemics Control.
EMO
Krzysztof Michalak
2023 — conf
Evolutionary Neural Networks for Livestock Disease Prevention.
GECCO Companion
Krzysztof Michalak, Mario Giacobini
2023 J jnl
Knowledge-based optimization algorithm for the inventory routing problem.
Soft Comput.
Krzysztof Michalak, Piotr Lipinski
2023 C conf
Multiobjective Optimization of Evolutionary Neural Networks for Animal Trade Movements Prediction.
EMO
Krzysztof Michalak, Mario Giacobini
2022 J jnl
Classifier-based evolutionary multiobjective optimization for the graph protection problem.
Appl. Soft Comput.
Krzysztof Michalak
2022 — conf
Required Quality of Service attributes in the context of various types of Web Services.
FedCSIS (Communication Papers)
Maksymilian Iwanow, Helena Dudycz, Krzysztof Michalak
2021 J jnl
A review of methods for imbalanced multi-label classification.
Pattern Recognit.
Adane Nega Tarekegn, Mario Giacobini, Krzysztof Michalak
2021 B conf
Evolutionary Algorithm Using Random Immigrants for the Multiobjective Travelling Salesman Problem.
KES
Krzysztof Michalak
2021 B conf
Feasibility-Preserving Genetic Operators for Hybrid Algorithms using TSP solvers for the Inventory Routing Problem.
KES
Krzysztof Michalak
2021 A conf
Generating hard inventory routing problem instances using evolutionary algorithms.
GECCO
Krzysztof Michalak
2021 — conf
The influence of uncertainties on optimization of vaccinations on a network of animal movements.
GECCO Companion
Krzysztof Michalak, Mario Giacobini
2021 J jnl
The influence of uncertainties on optimization of vaccinations on a network of animal movements.
Soft Comput.
Krzysztof Michalak, Mario Giacobini
2020 J jnl
Cross-Validation Approach to Evaluate Clustering Algorithms: An Experimental Study Using Multi-Label Datasets.
SN Comput. Sci.
Adane Nega Tarekegn, Krzysztof Michalak, Mario Giacobini
2020 — conf
Evolutionary Graph-Based V+E Optimization for Protection Against Epidemics.
PPSN (2)
Krzysztof Michalak
2020 B conf
Multiobjective Optimization of a Targeted Vaccination Scheme in the Presence of Non-diagnosed Cases.
EvoApplications
Krzysztof Michalak
2019 — conf
Deriving knowledge from local optima networks for evolutionary optimization in inventory routing problem.
GECCO (Companion)
Piotr Lipinski, Krzysztof Michalak
2019 — conf
Evolutionary optimization of epidemic control strategies for livestock disease prevention.
GECCO (Companion)
Krzysztof Michalak
2019 J jnl
Low-Dimensional Euclidean Embedding for Visualization of Search Spaces in Combinatorial Optimization.
IEEE Trans. Evol. Comput.
Krzysztof Michalak
2019 — conf
Low-Dimensional euclidean embedding for visualization of search spaces in combinatorial optimization.
GECCO (Companion)
Krzysztof Michalak
2019 — conf
Multidimensional time series feature engineering by hybrid evolutionary approach.
GECCO (Companion)
Piotr Lipinski, Krzysztof Michalak
2019 — conf
Solving the parameterless firefighter problem using multiobjective evolutionary algorithms.
GECCO (Companion)
Krzysztof Michalak
2019 A conf
Surrogate-based optimization for reduction of contagion susceptibility in financial systems.
GECCO
Krzysztof Michalak
2018 B conf
An Evolutionary Algorithm with Practitioner's-Knowledge-Based Operators for the Inventory Routing Problem.
EvoCOP
Piotr Lipinski, Krzysztof Michalak
2018 — conf
Crossover Operator Using Knowledge Transfer for the Firefighter Problem.
IDEAL (1)
Krzysztof Michalak
2018 — conf
ED-LS: a heuristic local search for the firefighter problem.
GECCO (Companion)
Krzysztof Michalak
2018 A conf
Informed mutation operator using machine learning for optimization in epidemics prevention.
GECCO
Krzysztof Michalak
2018 — conf
Knowledge-Based Solution Construction for Evolutionary Minimization of Systemic Risk.
IDEAL (1)
Krzysztof Michalak
2017 J jnl
ED-LS - A heuristic local search for the multiobjective Firefighter Problem.
Appl. Soft Comput.
Krzysztof Michalak
2017 B conf
Estimation of Distribution Algorithms for the Firefighter Problem.
EvoCOP
Krzysztof Michalak
2017 — conf
Evolutionary algorithm with a directional local search for multiobjective optimization in combinatorial problems.
GECCO (Companion)
Krzysztof Michalak
2017 — conf
Reducing systemic risk in multiplex networks using evolutionary optimization.
GECCO (Companion)
Krzysztof Michalak
2017 A conf
Simulation-based crossover for the firefighter problem.
GECCO
Krzysztof Michalak
2017 — conf
The MOEA/D algorithm with gaussian neighbourhoods for the multiobjective travelling salesman problem.
GECCO (Companion)
Krzysztof Michalak
2016 J jnl
Evolutionary algorithm with a directional local search for multiobjective optimization in combinatorial problems.
Optim. Methods Softw.
Krzysztof Michalak
2016 — conf
Improving Classification of Patterns in Ultra-High Frequency Time Series with Evolutionary Algorithms.
GECCO (Companion)
Piotr Lipinski, Krzysztof Michalak, Adrian Lancucki
2016 B conf
Multiobjective optimization of frequent pattern models in ultra-high frequency time series: Stability versus universality.
CEC
Krzysztof Michalak, Adrian Lancucki, Piotr Lipinski
2016 B conf
Sim-EDA: A Multipopulation Estimation of Distribution Algorithm Based on Problem Similarity.
EvoCOP
Krzysztof Michalak
2016 — conf
Simheuristics for the Multiobjective Nondeterministic Firefighter Problem in a Time-Constrained Setting.
EvoApplications (2)
Krzysztof Michalak, Joshua D. Knowles
2015 C conf
Improving the NSGA-II Performance with an External Population.
IDEAL
Krzysztof Michalak
2015 — conf
Infeasibility Driven Evolutionary Algorithm with the Anticipation Mechanism for the Reaching Goal in Dynamic Constrained Inverse Kinematics.
GECCO (Companion)
Patryk Filipiak, Krzysztof Michalak, Piotr Lipinski
2015 C conf
Local Search Based on a Local Utopia Point for the Multiobjective Travelling Salesman Problem.
IDEAL
Krzysztof Michalak
2015 A conf
Selecting Best Investment Opportunities from Stock Portfolios Optimized by a Multiobjective Evolutionary Algorithm.
GECCO
Krzysztof Michalak
2015 B conf
The Sim-EA Algorithm with Operator Autoadaptation for the Multiobjective Firefighter Problem.
EvoCOP
Krzysztof Michalak
2015 J jnl
Using an outward selective pressure for improving the search quality of the MOEA/D algorithm.
Comput. Optim. Appl.
Krzysztof Michalak
2014 B conf
Analysis of Dynamic Properties of Stock Market Trading Experts Optimized with an Evolutionary Algorithm.
EvoApplications
Krzysztof Michalak
2014 C conf
Auto-adaptation of Genetic Operators for Multi-objective Optimization in the Firefighter Problem.
IDEAL
Krzysztof Michalak
2014 C conf
Continuous Population-Based Incremental Learning with Mixture Probability Modeling for Dynamic Optimization Problems.
IDEAL
Adrian Lancucki, Jan Chorowski, Krzysztof Michalak, Patryk Filipiak, Piotr Lipinski
2014 C conf
Multiobjective Dynamic Constrained Evolutionary Algorithm for Control of a Multi-segment Articulated Manipulator.
IDEAL
Krzysztof Michalak, Patryk Filipiak, Piotr Lipinski
2014 C conf
Sim-EA: An Evolutionary Algorithm Based on Problem Similarity.
IDEAL
Krzysztof Michalak
2014 J jnl
The effects of asymmetric neighborhood assignment in the MOEA/D algorithm.
Appl. Soft Comput.
Krzysztof Michalak
2013 J jnl
Feature selection in corporate credit rating prediction.
Knowl. Based Syst.
Petr Hájek, Krzysztof Michalak
2013 B conf
Usage Patterns of Trading Rules in Stock Market Trading Strategies Optimized with Evolutionary Methods.
EvoApplications
Krzysztof Michalak, Patryk Filipiak, Piotr Lipinski
2012 — conf
A Predictive Evolutionary Algorithm for Dynamic Constrained Inverse Kinematics Problems.
HAIS (1)
Patryk Filipiak, Krzysztof Michalak, Piotr Lipinski
2012 Misc conf
Evolutionary Approach to Multiobjective Optimization of Portfolios That Reflect the Behaviour of Investment Funds.
AIMSA
Krzysztof Michalak, Patryk Filipiak, Piotr Lipinski
2011 — ch.
Analysis of Inter-rater Agreement among Human Observers Who Judge Image Similarity.
Computer Recognition Systems 4
Krzysztof Michalak, Bartlomiej Dzienkowski, Elzbieta Hudyma, Michal Stanek
2011 C conf
Graph Mining Approach to Suspicious Transaction Detection.
FedCSIS
Krzysztof Michalak, Jerzy Korczak
2011 C conf
Infeasibility Driven Evolutionary Algorithm with ARIMA-Based Prediction Mechanism.
IDEAL
Patryk Filipiak, Krzysztof Michalak, Piotr Lipinski
2011 J jnl
Selection of numerical and Nominal Features Based on Probabilistic Dependence between Features.
Appl. Artif. Intell.
Krzysztof Michalak, Halina Kwasnicka, Ewa Watorek, Marian Klinger
2010 J jnl
Correlation based feature selection method.
Int. J. Bio Inspired Comput.
Krzysztof Michalak, Halina Kwasnicka
2010 J jnl
The use of the cubic interpolation for the analysis of the medium- and high-dimensional chaotic signals.
Bio Algorithms Med Syst.
Krzysztof Michalak, Feliks Jaroszyk
2010 J jnl
The use of the shuffled signals for the estimation of the proper window width for the calculation of the dimensional complexity of the high-dimensional signals.
Bio Algorithms Med Syst.
Krzysztof Michalak, Feliks Jaroszyk
2007 J jnl
Influence of data dimensionality on the quality of forecasts given by a multilayer perceptron.
Theor. Comput. Sci.
Krzysztof Michalak, Halina Kwasnicka
2006 — conf
Correlation-based Feature Selection Strategy in Neural Classification.
ISDA (1)
Krzysztof Michalak, Halina Kwasnicka
2005 C conf
Correlation Dimension and the Quality of Forecasts Given by a Neural Network.
CiE
Krzysztof Michalak, Halina Kwasnicka
2005 C conf
Dynamic Correlation Approach to Early Stopping in Artificial Neural Network Training. Macroeconomic Forecasting Example.
ISDA
Krzysztof Michalak, Rafal Raciborski