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Krzysztof Michalak

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

46

Venues

11

Active years

2005–2025

Best venue rank

A

Where they publish

Papers

46 indexed papers, newest first.

YearVenueTitleAuthors
2025GECCOKnowledge-based Optimization in Epidemics Prevention.Krzysztof Michalak
2025GECCOGenetic Programming Algorithm with a Fast Logical Search for Analyzing Graph Contagion.Krzysztof Michalak
2025KESCrossover Meta-Operator Based on Operator Sequences for the Firefighter Problem.Krzysztof Michalak
2025KESVisual Analysis of Evolutionary Search for Explainable Models of Epidemic Propagation.Krzysztof Michalak
2023EMOEvolutionary Algorithms with Machine Learning Models for Multiobjective Optimization in Epidemics Control.Krzysztof Michalak
2023EMOMultiobjective Optimization of Evolutionary Neural Networks for Animal Trade Movements Prediction.Krzysztof Michalak, Mario Giacobini
2023GECCOClassifier-based evolutionary multiobjective optimization for the graph protection problem: Hot-off-the-Press Track at GECCO 2023.Krzysztof Michalak
2023GECCOEvolutionary Neural Networks for Livestock Disease Prevention.Krzysztof Michalak, Mario Giacobini
2023GECCOChannel Configuration for Neural Architecture: Insights from the Search Space.Sarah L. Thomson, Gabriela Ochoa, Nadarajen Veerapen, Krzysztof Michalak
2022FedCSISRequired Quality of Service attributes in the context of various types of Web Services.Maksymilian Iwanow, Helena Dudycz, Krzysztof Michalak
2021GECCOGenerating hard inventory routing problem instances using evolutionary algorithms.Krzysztof Michalak
2021GECCOThe influence of uncertainties on optimization of vaccinations on a network of animal movements.Krzysztof Michalak, Mario Giacobini
2021KESFeasibility-Preserving Genetic Operators for Hybrid Algorithms using TSP solvers for the Inventory Routing Problem.Krzysztof Michalak
2021KESEvolutionary Algorithm Using Random Immigrants for the Multiobjective Travelling Salesman Problem.Krzysztof Michalak
2020PPSNEvolutionary Graph-Based V+E Optimization for Protection Against Epidemics.Krzysztof Michalak
2019GECCOMultidimensional time series feature engineering by hybrid evolutionary approach.Piotr Lipinski, Krzysztof Michalak
2019GECCODeriving knowledge from local optima networks for evolutionary optimization in inventory routing problem.Piotr Lipinski, Krzysztof Michalak
2019GECCOSurrogate-based optimization for reduction of contagion susceptibility in financial systems.Krzysztof Michalak
2019GECCOLow-Dimensional euclidean embedding for visualization of search spaces in combinatorial optimization.Krzysztof Michalak
2019GECCOEvolutionary optimization of epidemic control strategies for livestock disease prevention.Krzysztof Michalak
2019GECCOSolving the parameterless firefighter problem using multiobjective evolutionary algorithms.Krzysztof Michalak
2018GECCOInformed mutation operator using machine learning for optimization in epidemics prevention.Krzysztof Michalak
2018GECCOED-LS: a heuristic local search for the firefighter problem.Krzysztof Michalak
2018IDEALKnowledge-Based Solution Construction for Evolutionary Minimization of Systemic Risk.Krzysztof Michalak
2018IDEALCrossover Operator Using Knowledge Transfer for the Firefighter Problem.Krzysztof Michalak
2017GECCOSimulation-based crossover for the firefighter problem.Krzysztof Michalak
2017GECCOEvolutionary algorithm with a directional local search for multiobjective optimization in combinatorial problems.Krzysztof Michalak
2017GECCOThe MOEA/D algorithm with gaussian neighbourhoods for the multiobjective travelling salesman problem.Krzysztof Michalak
2017GECCOReducing systemic risk in multiplex networks using evolutionary optimization.Krzysztof Michalak
2016CECMultiobjective optimization of frequent pattern models in ultra-high frequency time series: Stability versus universality.Krzysztof Michalak, Adrian Lancucki, Piotr Lipinski
2016GECCOImproving Classification of Patterns in Ultra-High Frequency Time Series with Evolutionary Algorithms.Piotr Lipinski, Krzysztof Michalak, Adrian Lancucki
2015GECCOInfeasibility Driven Evolutionary Algorithm with the Anticipation Mechanism for the Reaching Goal in Dynamic Constrained Inverse Kinematics.Patryk Filipiak, Krzysztof Michalak, Piotr Lipinski
2015GECCOSelecting Best Investment Opportunities from Stock Portfolios Optimized by a Multiobjective Evolutionary Algorithm.Krzysztof Michalak
2015IDEALImproving the NSGA-II Performance with an External Population.Krzysztof Michalak
2015IDEALLocal Search Based on a Local Utopia Point for the Multiobjective Travelling Salesman Problem.Krzysztof Michalak
2014IDEALContinuous Population-Based Incremental Learning with Mixture Probability Modeling for Dynamic Optimization Problems.Adrian Lancucki, Jan Chorowski, Krzysztof Michalak, Patryk Filipiak, Piotr Lipinski
2014IDEALSim-EA: An Evolutionary Algorithm Based on Problem Similarity.Krzysztof Michalak
2014IDEALAuto-adaptation of Genetic Operators for Multi-objective Optimization in the Firefighter Problem.Krzysztof Michalak
2014IDEALMultiobjective Dynamic Constrained Evolutionary Algorithm for Control of a Multi-segment Articulated Manipulator.Krzysztof Michalak, Patryk Filipiak, Piotr Lipinski
2012AIMSAEvolutionary Approach to Multiobjective Optimization of Portfolios That Reflect the Behaviour of Investment Funds.Krzysztof Michalak, Patryk Filipiak, Piotr Lipinski
2012HAISA Predictive Evolutionary Algorithm for Dynamic Constrained Inverse Kinematics Problems.Patryk Filipiak, Krzysztof Michalak, Piotr Lipinski
2011FedCSISGraph Mining Approach to Suspicious Transaction Detection.Krzysztof Michalak, Jerzy Korczak
2011IDEALInfeasibility Driven Evolutionary Algorithm with ARIMA-Based Prediction Mechanism.Patryk Filipiak, Krzysztof Michalak, Piotr Lipinski
2006ISDACorrelation-based Feature Selection Strategy in Neural Classification.Krzysztof Michalak, Halina Kwasnicka
2005CiECorrelation Dimension and the Quality of Forecasts Given by a Neural Network.Krzysztof Michalak, Halina Kwasnicka
2005ISDADynamic Correlation Approach to Early Stopping in Artificial Neural Network Training. Macroeconomic Forecasting Example.Krzysztof Michalak, Rafal Raciborski