Krzysztof Michalak

Orcid: 0000-0003-4994-9930

According to our database1, Krzysztof Michalak authored at least 66 papers between 2005 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Evolutionary algorithm with a regression model for multiobjective minimization of systemic risk in financial systems.
Soft Comput., March, 2024

2023
Knowledge-based optimization algorithm for the inventory routing problem.
Soft Comput., November, 2023

Does the default pecking order impact systemic risk? Evidence from Brazilian data.
Eur. J. Oper. Res., 2023

Channel Configuration for Neural Architecture: Insights from the Search Space.
Proceedings of the Genetic and Evolutionary Computation Conference, 2023

Evolutionary Neural Networks for Livestock Disease Prevention.
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

Classifier-based evolutionary multiobjective optimization for the graph protection problem: Hot-off-the-Press Track at GECCO 2023.
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

Multiobjective Optimization of Evolutionary Neural Networks for Animal Trade Movements Prediction.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2023

Evolutionary Algorithms with Machine Learning Models for Multiobjective Optimization in Epidemics Control.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2023

2022
Classifier-based evolutionary multiobjective optimization for the graph protection problem.
Appl. Soft Comput., 2022

Required Quality of Service attributes in the context of various types of Web Services.
Proceedings of the Communication Papers of the 17th Conference on Computer Science and Intelligence Systems, 2022

2021
The influence of uncertainties on optimization of vaccinations on a network of animal movements.
Soft Comput., 2021

A review of methods for imbalanced multi-label classification.
Pattern Recognit., 2021

Evolutionary Algorithm Using Random Immigrants for the Multiobjective Travelling Salesman Problem.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 25th International Conference KES-2021, 2021

Feasibility-Preserving Genetic Operators for Hybrid Algorithms using TSP solvers for the Inventory Routing Problem.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 25th International Conference KES-2021, 2021

Generating hard inventory routing problem instances using evolutionary algorithms.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

2020
Cross-Validation Approach to Evaluate Clustering Algorithms: An Experimental Study Using Multi-Label Datasets.
SN Comput. Sci., 2020

Evolutionary Graph-Based V+E Optimization for Protection Against Epidemics.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020

Multiobjective Optimization of a Targeted Vaccination Scheme in the Presence of Non-diagnosed Cases.
Proceedings of the Applications of Evolutionary Computation - 23rd European Conference, 2020

2019
Low-Dimensional Euclidean Embedding for Visualization of Search Spaces in Combinatorial Optimization.
IEEE Trans. Evol. Comput., 2019

Solving the parameterless firefighter problem using multiobjective evolutionary algorithms.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

Evolutionary optimization of epidemic control strategies for livestock disease prevention.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

Surrogate-based optimization for reduction of contagion susceptibility in financial systems.
Proceedings of the Genetic and Evolutionary Computation Conference, 2019

Deriving knowledge from local optima networks for evolutionary optimization in inventory routing problem.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

Multidimensional time series feature engineering by hybrid evolutionary approach.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

2018
Crossover Operator Using Knowledge Transfer for the Firefighter Problem.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2018, 2018

Knowledge-Based Solution Construction for Evolutionary Minimization of Systemic Risk.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2018, 2018

ED-LS: a heuristic local search for the firefighter problem.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

Informed mutation operator using machine learning for optimization in epidemics prevention.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018

An Evolutionary Algorithm with Practitioner's-Knowledge-Based Operators for the Inventory Routing Problem.
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2018

2017
ED-LS - A heuristic local search for the multiobjective Firefighter Problem.
Appl. Soft Comput., 2017

Reducing systemic risk in multiplex networks using evolutionary optimization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

The MOEA/D algorithm with gaussian neighbourhoods for the multiobjective travelling salesman problem.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Simulation-based crossover for the firefighter problem.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Estimation of Distribution Algorithms for the Firefighter Problem.
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2017

2016
Evolutionary algorithm with a directional local search for multiobjective optimization in combinatorial problems.
Optim. Methods Softw., 2016

Improving Classification of Patterns in Ultra-High Frequency Time Series with Evolutionary Algorithms.
Proceedings of the Genetic and Evolutionary Computation Conference, 2016

Simheuristics for the Multiobjective Nondeterministic Firefighter Problem in a Time-Constrained Setting.
Proceedings of the Applications of Evolutionary Computation - 19th European Conference, 2016

Sim-EDA: A Multipopulation Estimation of Distribution Algorithm Based on Problem Similarity.
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2016

Multiobjective optimization of frequent pattern models in ultra-high frequency time series: Stability versus universality.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015
Using an outward selective pressure for improving the search quality of the MOEA/D algorithm.
Comput. Optim. Appl., 2015

Local Search Based on a Local Utopia Point for the Multiobjective Travelling Salesman Problem.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2015, 2015

Improving the NSGA-II Performance with an External Population.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2015, 2015

Selecting Best Investment Opportunities from Stock Portfolios Optimized by a Multiobjective Evolutionary Algorithm.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015

Infeasibility Driven Evolutionary Algorithm with the Anticipation Mechanism for the Reaching Goal in Dynamic Constrained Inverse Kinematics.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015

The Sim-EA Algorithm with Operator Autoadaptation for the Multiobjective Firefighter Problem.
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2015

2014
The effects of asymmetric neighborhood assignment in the MOEA/D algorithm.
Appl. Soft Comput., 2014

Multiobjective Dynamic Constrained Evolutionary Algorithm for Control of a Multi-segment Articulated Manipulator.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2014, 2014

Auto-adaptation of Genetic Operators for Multi-objective Optimization in the Firefighter Problem.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2014, 2014

Sim-EA: An Evolutionary Algorithm Based on Problem Similarity.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2014, 2014

Continuous Population-Based Incremental Learning with Mixture Probability Modeling for Dynamic Optimization Problems.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2014, 2014

Analysis of Dynamic Properties of Stock Market Trading Experts Optimized with an Evolutionary Algorithm.
Proceedings of the Applications of Evolutionary Computation - 17th European Conference, 2014

2013
Feature selection in corporate credit rating prediction.
Knowl. Based Syst., 2013

Usage Patterns of Trading Rules in Stock Market Trading Strategies Optimized with Evolutionary Methods.
Proceedings of the Applications of Evolutionary Computation - 16th European Conference, 2013

2012
A Predictive Evolutionary Algorithm for Dynamic Constrained Inverse Kinematics Problems.
Proceedings of the Hybrid Artificial Intelligent Systems - 7th International Conference, 2012

Evolutionary Approach to Multiobjective Optimization of Portfolios That Reflect the Behaviour of Investment Funds.
Proceedings of the Artificial Intelligence: Methodology, Systems, and Applications, 2012

2011
Analysis of Inter-rater Agreement among Human Observers Who Judge Image Similarity.
Proceedings of the Computer Recognition Systems 4, 2011

Selection of numerical and Nominal Features Based on Probabilistic Dependence between Features.
Appl. Artif. Intell., 2011

Infeasibility Driven Evolutionary Algorithm with ARIMA-Based Prediction Mechanism.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2011, 2011

Graph Mining Approach to Suspicious Transaction Detection.
Proceedings of the Federated Conference on Computer Science and Information Systems, 2011

2010
Correlation based feature selection method.
Int. J. Bio Inspired Comput., 2010

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., 2010

The use of the cubic interpolation for the analysis of the medium- and high-dimensional chaotic signals.
Bio Algorithms Med Syst., 2010

2007
Influence of data dimensionality on the quality of forecasts given by a multilayer perceptron.
Theor. Comput. Sci., 2007

2006
Correlation-based Feature Selection Strategy in Neural Classification.
Proceedings of the Sixth International Conference on Intelligent Systems Design and Applications (ISDA 2006), 2006

2005
Dynamic Correlation Approach to Early Stopping in Artificial Neural Network Training. Macroeconomic Forecasting Example.
Proceedings of the Fifth International Conference on Intelligent Systems Design and Applications (ISDA 2005), 2005

Correlation Dimension and the Quality of Forecasts Given by a Neural Network.
Proceedings of the New Computational Paradigms, 2005


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