Comparison of evolutionary algorithms in the task of chaos control optimization. - Roman Senkerik; Ivan Zelinka; Donald Davendra (IEEE Congress on Evolutionary Computation, 2007)

Optimization of Chaos Control by Means of Evolutionary Algorithms. - Ivan Zelinka; Roman Senkerik; Eduard Navratil (DEXA Workshops, 2007)

Evolutionary Techniques for Deterministic Chaos Control. - Roman Senkerik; Ivan Zelinka; Zuzana Oplatková (EIAT/IETA, 2008)

Steganography Detection by Means of Neural Networks. - Zuzana Oplatková; Jiri Holoska; Ivan Zelinka; Roman Senkerik (DEXA Workshops, 2008)

Performance Comparison of Evolutionary Algorithms in the Task of Optimization of Chaos Control. - Ivan Zelinka; Roman Senkerik; Zuzana Oplatková (DEXA Workshops, 2008)

Evolutionary Synthesis of Complex Structures. - Ivan Zelinka; Roman Senkerik; Zuzana Oplatková (DEXA Workshops, 2008)

Evolutionary Scanning and Neural Network Optimization. - Ivan Zelinka; Roman Senkerik; Zuzana Oplatková (DEXA Workshops, 2008)

Detection of Steganography Inserted by OutGuess and Steghide by Means of Neural Networks. - Zuzana Oplatková; Jiri Holoska; Ivan Zelinka; Roman Senkerik (Asia International Conference on Modelling and Simulation, 2009)

Comparison of Differential Evolution and SOMA in the task of chaos control optimization - Extended study: Complex target CF. - Roman Senkerik; Ivan Zelinka; Zuzana Oplatková (IEEE Congress on Evolutionary Computation, 2009)

Design Of Advanced Targeting Cost Function For Evolutionary Optimization Of Chaos Control. - Roman Senkerik; Ivan Zelinka; Zuzana Oplatková (ECMS, 2009)

Evolutionary blackbox control of Logistic equation. - Roman Senkerik; Ivan Zelinka; Zuzana Oplatková (ECC, 2009)

Chaos driven Differential Evolution in the task of chaos control optimization. - Roman Senkerik; Donald Davendra; Ivan Zelinka; Zuzana Oplatková (IEEE Congress on Evolutionary Computation, 2010)

Preliminary investigation on relations between complex networks and evolutionary algorithms dynamics. - Ivan Zelinka; Donald Davendra; Václav Snásel; Roman Jasek; Roman Senkerik; Zuzana Oplatková (CISIM, 2010)

Synthesis Of Control Law For Chaotic Henon System Preliminary Study. - Zuzana Oplatková; Roman Senkerik; Ivan Zelinka; Jiri Holoska (ECMS, 2010)

Chaos driven evolutionary algorithms for the task of PID control. - Donald Davendra; Ivan Zelinka; Roman Senkerik (Comput. Math. Appl., 2010)

Utilization of SOMA and differential evolution for robust stabilization of chaotic Logistic equation. - Roman Senkerik; Ivan Zelinka; Donald Davendra; Zuzana Oplatková (Comput. Math. Appl., 2010)

Evolutionary Design of Chaos Control in 1D. - Roman Senkerik; Ivan Zelinka; Donald Davendra; Zuzana Oplatková (Evolutionary Algorithms and Chaotic Systems, 2010)

Time Series Pattern Recognition via SoftComputing. - Martin Kotyrba; Zuzana Oplatková; Eva Volná; Roman Senkerik; Vaclav Kocian; Michal Janosek (3PGCIC, 2011)

Classification with Pseudo Neural Networks Based on Evolutionary Symbolic Regression. - Zuzana Oplatková; Roman Senkerik (3PGCIC, 2011)

Steganalysis Of PQ Algorithm By Means Of Neural Networks. - Zuzana Oplatková; Jiri Holoska; Ivan Zelinka; Roman Senkerik; Roman Jasek (ECMS, 2011)

Evolutionary Synthesis Of Control Law For Higher Periodic Orbits Of Chaotic Logistic Equation. - Roman Senkerik; Zuzana Oplatková; Ivan Zelinka; Roman Jasek (ECMS, 2011)

Do Evolutionary Algorithm Dynamics Create Complex Network Structures? - Ivan Zelinka; Donald Davendra; Roman Senkerik; Roman Jasek (Complex Syst., 2011)

CUDA Based Enhanced Differential Evolution: A Computational Analysis. - Donald Davendra; Jan Gaura; Magdalena Bialic-Davendra; Roman Senkerik (ECMS, 2012)

Utilization Of Analytic Programming For The Stabilization Of High Order Oscillations Of Chaotic Hénon Map. - Zuzana Oplatková; Roman Senkerik; Ivan Zelinka; Donald Davendra (ECMS, 2012)

Designing PID Controller For DC Motor System By Means Of Enhanced PSO Algorithm With Discrete Chaotic Lozi Map. - Michal Pluhacek; Roman Senkerik; Donald Davendra; Ivan Zelinka (ECMS, 2012)

Evolutionary and Meta-evolutionary Approach for the Optimization of Chaos Control. - Roman Senkerik; Zuzana Oplatková; Donald Davendra; Ivan Zelinka (ICAISC (SIDE-EC), 2012)

Extended Initial Study on the Performance of Enhanced PSO Algorithm with Lozi Chaotic Map. - Michal Pluhacek; Vera Budikova; Roman Senkerik; Zuzana Oplatková; Ivan Zelinka (NOSTRADAMUS, 2012)

Impact of Various Chaotic Maps on the Performance of Chaos Enhanced PSO Algorithm with Inertia Weight - An Initial Study. - Michal Pluhacek; Roman Senkerik; Ivan Zelinka (NOSTRADAMUS, 2012)

On the Evolutionary Optimization of Chaos Control - A Brief Survey. - Roman Senkerik (NOSTRADAMUS, 2012)

Evolutionary Synthesis of Control Rules by Means of Analytic Programming for the Purpose of High Order Oscillations Stabilization of Evolutionary Synthesized Chaotic System. - Roman Senkerik; Zuzana Oplatková; Ivan Zelinka (NOSTRADAMUS, 2012)

Evolutionary Identification and Synthesis of Predictive Models. - Ivan Zelinka; Lenka Skanderová; Mohammed Chadli; Tomas Brandejsky; Roman Senkerik (NOSTRADAMUS, 2012)

Designing PID Controller for DC Motor by Means of Enhanced PSO Algorithm with Dissipative Chaotic Map. - Michal Pluhacek; Roman Senkerik; Donald Davendra; Ivan Zelinka (SOCO, 2012)

Optimization of the Batch Reactor by Means of Chaos Driven Differential Evolution. - Roman Senkerik; Donald Davendra; Ivan Zelinka; Zuzana Oplatková; Michal Pluhacek (SOCO, 2012)

Clustered enhanced differential evolution for the blocking flow shop scheduling problem. - Donald Davendra; Ivan Zelinka; Magdalena Bialic-Davendra; Roman Senkerik; Roman Jasek (Central Eur. J. Oper. Res., 2012)

Evolutionary Chaos Controller Synthesis for Stabilizing Chaotic Hénon Maps. - Roman Senkerik; Zuzana Oplatková; Ivan Zelinka; Donald Davendra (Complex Syst., 2012)

Performance Comparison of differential Evolution and SOMA on Chaos Control Optimization Problems. - Roman Senkerik; Donald Davendra; Ivan Zelinka; Zuzana Oplatková; Roman Jasek (Int. J. Bifurc. Chaos, 2012)

Investigation on Visualization, Analysis, and Control of Complex Networks Dynamics. - Ivan Zelinka; Donald Davendra; Roman Jasek; Roman Senkerik (Int. J. Energy Optim. Eng., 2012)

Application of Analytic Programming for Evolutionary Synthesis of Control Law - Introduction of Two Approaches. - Roman Senkerik; Zuzana Oplatková; Ivan Zelinka; Roman Jasek (Advances in Intelligent Modelling and Simulation, 2012)

Investigation on the performance of a new multiple choice strategy for PSO Algorithm in the task of large scale optimization problems. - Michal Pluhacek; Roman Senkerik; Ivan Zelinka (IEEE Congress on Evolutionary Computation, 2013)

Chaos PSO algorithm driven alternately by two different chaotic maps - An initial study. - Michal Pluhacek; Roman Senkerik; Ivan Zelinka; Donald Davendra (IEEE Congress on Evolutionary Computation, 2013)

Investigation on the Differential Evolution driven by selected six chaotic systems in the task of reactor geometry optimization. - Roman Senkerik; Michal Pluhacek; Zuzana Komínková Oplatková; Donald Davendra; Ivan Zelinka (IEEE Congress on Evolutionary Computation, 2013)

Do evolutionary algorithms indeed require randomness? - Ivan Zelinka; Roman Senkerik; Michal Pluhacek (IEEE Congress on Evolutionary Computation, 2013)

Scheduling The Flow Shop With Blocking Problem With The Chaos-Induced Discrete Self Organising Migrating Algorithm. - Donald Davendra; Magdalena Bialic-Davendra; Roman Senkerik; Michal Pluhacek (ECMS, 2013)

Iris Data Classification By Means Of Pseudo Neural Networks Based On Evolutionary Symbolic Regression. - Zuzana Komínková Oplatková; Roman Senkerik (ECMS, 2013)

Multiple Choice Strategy For PSO Algorithm - Performance Analysis On Shifted Test Functions. - Michal Pluhacek; Roman Senkerik; Ivan Zelinka; Donald Davendra (ECMS, 2013)

Analytic Programming In The Task Of Evolutionary Synthesis Of The Robust Controller For Selected Discrete Chaotic Systems. - Roman Senkerik; Zuzana Komínková Oplatková; Ivan Zelinka; Michal Pluhacek (ECMS, 2013)

Multiple Choice Strategy - A Novel Approach for Particle Swarm Optimization - Preliminary Study. - Michal Pluhacek; Roman Senkerik; Ivan Zelinka (ICAISC (2), 2013)

Chaos Driven Differential Evolution with Lozi Map in the Task of Chemical Reactor Optimization. - Roman Senkerik; Donald Davendra; Ivan Zelinka; Michal Pluhacek; Zuzana Komínková Oplatková (ICAISC (2), 2013)

Utilising the Chaos-Induced Discrete Self Organising Migrating Algorithm to Schedule the Lot-Streaming Flowshop Scheduling Problem with Setup Time. - Donald Davendra; Roman Senkerik; Ivan Zelinka; Michal Pluhacek; Magdalena Bialic-Davendra (NOSTRADAMUS, 2013)

Evolutionary Synthesis of Complex Structures - Pseudo Neural Networks for the Task of Iris Dataset Classification. - Zuzana Komínková Oplatková; Roman Senkerik (NOSTRADAMUS, 2013)

New Adaptive Approach for Chaos PSO Algorithm Driven Alternately by Two Different Chaotic Maps - An Initial Study. - Michal Pluhacek; Roman Senkerik; Ivan Zelinka; Donald Davendra (NOSTRADAMUS, 2013)

On the Performance of Enhanced PSO Algorithm with Dissipative Chaotic Map in the Task of High Dimensional Optimization Problems. - Michal Pluhacek; Roman Senkerik; Ivan Zelinka; Donald Davendra (NOSTRADAMUS, 2013)

Utilization of Analytic Programming for Evolutionary Synthesis of the Robust Controller for Set of Chaotic Systems. - Roman Senkerik; Zuzana Komínková Oplatková; Ivan Zelinka; Michal Pluhacek (NOSTRADAMUS, 2013)

Hidden Periodicity - Chaos Dependance on Numerical Precision. - Ivan Zelinka; Mohammed Chadli; Donald Davendra; Roman Senkerik; Michal Pluhacek; Jouni Lampinen (NOSTRADAMUS, 2013)

Do Evolutionary Algorithms Indeed Require Random Numbers? Extended Study. - Ivan Zelinka; Mohammed Chadli; Donald Davendra; Roman Senkerik; Michal Pluhacek; Jouni Lampinen (NOSTRADAMUS, 2013)

Scheduling the Lot-Streaming Flowshop scheduling problem with setup time with the chaos-induced Enhanced Differential Evolution. - Donald Davendra; Magdalena Bialic-Davendra; Roman Senkerik (SDE, 2013)

Multiple Choice Strategy Based PSO Algorithm with Chaotic Decision Making - A Preliminary Study. - Michal Pluhacek; Roman Senkerik; Ivan Zelinka (SOCO-CISIS-ICEUTE, 2013)

Performance of Chaos Driven Differential Evolution on Shifted Benchmark Functions Set. - Roman Senkerik; Michal Pluhacek; Ivan Zelinka; Zuzana Komínková Oplatková; Radek Vala; Roman Jasek (SOCO-CISIS-ICEUTE, 2013)

Analytic programming in the task of evolutionary synthesis of a controller for high order oscillations stabilization of discrete chaotic systems. - Zuzana Komínková Oplatková; Roman Senkerik; Ivan Zelinka; Michal Pluhacek (Comput. Math. Appl., 2013)

On the behavior and performance of chaos driven PSO algorithm with inertia weight. - Michal Pluhacek; Roman Senkerik; Donald Davendra; Zuzana Komínková Oplatková; Ivan Zelinka (Comput. Math. Appl., 2013)

Discrete Self-Organising Migrating Algorithm for flow-shop scheduling with no-wait makespan. - Donald Davendra; Ivan Zelinka; Magdalena Bialic-Davendra; Roman Senkerik; Roman Jasek (Math. Comput. Model., 2013)

Synthesis of feedback controller for three selected chaotic systems by means of evolutionary techniques: Analytic programming. - Roman Senkerik; Zuzana Oplatková; Ivan Zelinka; Donald Davendra (Math. Comput. Model., 2013)

An investigation on evolutionary reconstruction of continuous chaotic systems. - Ivan Zelinka; Mohammed Chadli; Donald Davendra; Roman Senkerik; Roman Jasek (Math. Comput. Model., 2013)

Optimization of Artificial Neural Network Structure in the Case of Steganalysis. - Zuzana Oplatková; Jiri Holoska; Michal Procházka; Roman Senkerik; Roman Jasek (Handbook of Optimization, 2013)

Application of Evolutionary Techniques for Optimization of Chaos Control - Introduction of Three Approaches. - Roman Senkerik; Zuzana Oplatková; Ivan Zelinka; Donald Davendra; Roman Jasek (Handbook of Optimization, 2013)

Evolutionary Dynamics as The Structure of Complex Networks. - Ivan Zelinka; Donald Davendra; Mohammed Chadli; Roman Senkerik; Tran Trong Dao 001; Lenka Skanderová (Handbook of Optimization, 2013)

Scatter Search Algorithm with chaos based stochasticity. - Donald Davendra; Roman Senkerik; Ivan Zelinka; Michal Pluhacek (IEEE Congress on Evolutionary Computation, 2014)

Evolutionary algorithms dynamics and its hidden complex network structures. - Ivan Zelinka; Donald Davendra; Jouni Lampinen; Roman Senkerik; Michal Pluhacek (IEEE Congress on Evolutionary Computation, 2014)

Chaos Driven Particle Swarm Optimization with Basic Particle Performance Evaluation - An Initial Study. - Michal Pluhacek; Roman Senkerik; Ivan Zelinka (CISIM, 2014)

Comparison of Chaos Driven PSO and Differential Evolution on the Selected PID Tuning Problem. - Roman Senkerik; Michal Pluhacek; Ivan Zelinka; Donald Davendra; Zuzana Komínková Oplatková (CISIM, 2014)

Chaos Powered Grammatical Evolution. - Ivan Zelinka; Petr Saloun; Roman Senkerik (CISIM, 2014)

MIMO Pseudo Neural Networks for Iris Data Classification. - Zuzana Komínková Oplatková; Roman Senkerik (CSOC, 2014)

Utilization of the Discrete Chaotic Systems as the Pseudo Random Number Generators. - Roman Senkerik; Michal Pluhacek; Ivan Zelinka; Zuzana Komínková Oplatková (CSOC, 2014)

On the Simulation of the Brain Activity: A Brief Survey. - Jaromir Svejda; Roman Zak; Roman Jasek; Roman Senkerik (CSOC, 2014)

Pseudo Neural Networks For Iris Data Classification. - Zuzana Komínková Oplatková; Roman Senkerik; Ales Kominek (ECMS, 2014)

Performance Comparison Of Evolutionary Techniques Enhanced By Lozi Chaotic Map In The Task Of Reactor Geometry Optimization. - Michal Pluhacek; Roman Senkerik; Ivan Zelinka; Donald Davendra (ECMS, 2014)

Simulation Of The Differential Evolution Performance Dependency On Switching Of The Driving Chaotic Systems. - Roman Senkerik; Michal Pluhacek; Donald Davendra; Ivan Zelinka; Zuzana Komínková Oplatková (ECMS, 2014)

Analysis Of EEG Signal For Using In Biometrical Classification. - Roman Zak; Jaromir Svejda; Roman Senkerik; Roman Jasek (ECMS, 2014)

Performance Testing of Multi-Chaotic Differential Evolution Concept on Shifted Benchmark Functions. - Roman Senkerik; Michal Pluhacek; Donald Davendra; Ivan Zelinka; Zuzana Komínková Oplatková (HAIS, 2014)

Complex Network Analysis of Evolutionary Algorithms Applied to Combinatorial Optimisation Problem. - Donald Davendra; Ivan Zelinka; Roman Senkerik; Michal Pluhacek (IBICA, 2014)

Application of Neural Networks for the Classification of Gender from Kick Force Profile - A Small Scale Study. - Dora Lapkova; Michal Pluhacek; Zuzana Komínková Oplatková; Roman Senkerik; Milan Adamek (IBICA, 2014)

Preliminary Study on the Particle Swarm Optimization with the Particle Performance Evaluation. - Michal Pluhacek; Roman Senkerik; Ivan Zelinka (ICAISC (1), 2014)

Multi-chaotic Differential Evolution: A Preliminary Study. - Roman Senkerik; Michal Pluhacek; Ivan Zelinka; Donald Davendra; Zuzana Komínková Oplatková (ICAISC (1), 2014)

On Convergence of Evolutionary Algorithms Powered by Non-random Generators. - Ivan Zelinka; Donald Davendra; Roman Senkerik; Michal Pluhacek; Zuzana Komínková Oplatková (ICAISC (1), 2014)

Complex network analysis of differential evolution algorithm applied to flowshop with no-wait problem. - Donald Davendra; Ivan Zelinka; Magdalena Metlicka; Roman Senkerik; Michal Pluhacek (SDE, 2014)

Gathering algorithm: A new concept of PSO based metaheuristic with dimensional mutation. - Michal Pluhacek; Roman Senkerik; Ivan Zelinka; Donald Davendra (SIS, 2014)

Utilising the chaos-induced discrete self organising migrating algorithm to solve the lot-streaming flowshop scheduling problem with setup time. - Donald Davendra; Roman Senkerik; Ivan Zelinka; Michal Pluhacek; Magdalena Bialic-Davendra (Soft Comput., 2014)

Particle swarm optimization algorithm driven by multichaotic number generator. - Michal Pluhacek; Roman Senkerik; Ivan Zelinka (Soft Comput., 2014)

Utilization of analytic programming for the evolutionary synthesis of the robust multi-chaotic controller for selected sets of discrete chaotic systems. - Roman Senkerik; Zuzana Komínková Oplatková; Ivan Zelinka; Bronislav Chramcov; Donald Davendra; Michal Pluhacek (Soft Comput., 2014)

Particle Swarm Optimizer with Diversity Measure Based on Swarm Representation in Complex Network. - Jakub Janostik; Michal Pluhacek; Roman Senkerik; Ivan Zelinka (AECIA, 2015)

Capturing Inner Dynamics of Firefly Algorithm in Complex Network - Initial Study. - Jakub Janostik; Michal Pluhacek; Roman Senkerik; Ivan Zelinka; Frantisek Spacek (AECIA, 2015)

PSO as Complex Network - Capturing the Inner Dynamics - Initial Study. - Michal Pluhacek; Jakub Janostik; Roman Senkerik; Ivan Zelinka; Donald Davendra (AECIA, 2015)

Chaos PSO with Super-Sized Swarm - Initial Study. - Michal Pluhacek; Roman Senkerik; Ivan Zelinka (AECIA, 2015)

Preliminary Study on the Randomization and Sequencing for the Chaos Embedded Heuristic. - Roman Senkerik; Michal Pluhacek; Ivan Zelinka; Donald Davendra; Jakub Janostik (AECIA, 2015)

Multiple Choice strategy with Dimensional mutation for PSO algorithm enhanced with chaotic Dissipative Standard Map. - Michal Pluhacek; Roman Senkerik; Donald Davendra (CEC, 2015)

On the parameter settings for the chaotic dynamics embedded differential evolution. - Roman Senkerik; Michal Pluhacek; Zuzana Komínková Oplatková; Donald Davendra (CEC, 2015)

A Multiplatform Comparison of a Dynamic Compilation Using Roslyn and Mathematical Parser Libraries in .NET for Expression Evaluation. - Petr Capek; Erik Kral; Roman Senkerik (CSOC (2), 2015)

An Initial Study on the New Adaptive Approach for Multi-chaotic Differential Evolution. - Roman Senkerik; Michal Pluhacek; Zuzana Komínková Oplatková (CSOC (1), 2015)

The Architecture of Software Interface for BCI System. - Roman Zak; Jaromir Svejda; Roman Jasek; Roman Senkerik (CSOC (2), 2015)

Proposal Of Evaluation Criteria For Free And Open Source Tools For Modelling And Support Of IT Service Management According To ITIL. - Lukas Kralik; Roman Senkerik; Roman Jasek (ECMS, 2015)

Prediction Of Raw Material Batches For The Production Of Clinker By Means Of Artificial Neural Networks -Analysis Of Behaviour. - Zuzana Komínková Oplatková; Roman Senkerik (ECMS, 2015)

Simulation Of Time-Continuous Chaotic UEDA Oscillator As The Generator Of Random Numbers For Heuristic. - Roman Senkerik; Michal Pluhacek; Donald Davendra; Ivan Zelinka; Zuzana Komínková Oplatková (ECMS, 2015)

Using Brain - Computer Interface For Control Robot Movement. - Jaromir Svejda; Roman Zak; Roman Senkerik; Roman Jasek (ECMS, 2015)

MC-PSO/DE Hybrid with Repulsive Strategy - Initial Study. - Michal Pluhacek; Roman Senkerik; Ivan Zelinka; Donald Davendra (HAIS, 2015)

New Adaptive Approach for Multi-chaotic Differential Evolution Concept. - Roman Senkerik; Michal Pluhacek; Donald Davendra; Ivan Zelinka; Jakub Janostik (HAIS, 2015)

Multiple Choice Strategy for PSO Algorithm Enhanced with Dimensional Mutation. - Michal Pluhacek; Roman Senkerik; Ivan Zelinka; Donald Davendra (ICAISC (1), 2015)

On the Tuning of Complex Dynamics Embedded into Differential Evolution. - Roman Senkerik; Michal Pluhacek; Ivan Zelinka; Donald Davendra; Zuzana Komínková Oplatková; Roman Jasek (ICAISC (1), 2015)

Cost Functions Based on Different Types of Distance Measurements for Pseudo Neural Network Synthesis. - Zuzana Komínková Oplatková; Roman Senkerik (MENDEL, 2015)

The Initial Study on the Potential of Super-Sized Swarm in PSO. - Michal Pluhacek; Roman Senkerik; Ivan Zelinka (MENDEL, 2015)

Hybridization of Adaptivity and Chaotic Dynamics for Differential Evolution. - Roman Senkerik; Michal Pluhacek; Donald Davendra; Ivan Zelinka; Zuzana Komínková Oplatková; Jakub Janostik (MENDEL, 2015)

Investigation on evolutionary predictive control of chemical reactor. - Ivan Zelinka; Donald David Davendra; Roman Senkerik; Michal Pluhacek (J. Appl. Log., 2015)

Chaos particle swarm optimization with Eensemble of chaotic systems. - Michal Pluhacek; Roman Senkerik; Donald Davendra (Swarm Evol. Comput., 2015)

Recent advances in swarm and evolutionary computation-foreword. - Ivan Zelinka; Jouni Lampinen; Václav Snásel; Roman Senkerik (Swarm Evol. Comput., 2015)

Complex network analysis in PSO as an fitness landscape classifier. - Michal Pluhacek; Roman Senkerik; Adam Viktorin; Jakub Janostik; Donald Davendra (CEC, 2016)

On the influence of different randomization and complex network analysis for differential evolution. - Roman Senkerik; Adam Viktorin; Michal Pluhacek; Jakub Janostik; Donald Davendra (CEC, 2016)

Success-history based adaptive differential evolution algorithm with multi-chaotic framework for parent selection performance on CEC2014 benchmark set. - Adam Viktorin; Michal Pluhacek; Roman Senkerik (CEC, 2016)

Study on the Time Development of Complex Network for Metaheuristic. - Roman Senkerik; Adam Viktorin; Michal Pluhacek; Jakub Janostik; Zuzana Komínková Oplatková (CSOC (1), 2016)

Lozi Map Generated Initial Population in Analytical Programming. - Adam Viktorin; Michal Pluhacek; Roman Senkerik (CSOC (1), 2016)

Study On Swarm Dynamics Converted Into Complex Network. - Michal Pluhacek; Roman Senkerik; Jakub Janostik; Adam Viktorin; Ivan Zelinka (ECMS, 2016)

On The Simulation Of Complex Chaotic Dynamics For Chaos Based Optimization. - Roman Senkerik; Michal Pluhacek; Adam Viktorin; Zuzana Komínková Oplatková (ECMS, 2016)

Analytical Programming With Extended Individuals. - Adam Viktorin; Michal Pluhacek; Zuzana Komínková Oplatková; Roman Senkerik (ECMS, 2016)

Multi-chaotic Approach for Particle Acceleration in PSO. - Michal Pluhacek; Roman Senkerik; Adam Viktorin; Ivan Zelinka (HM, 2016)

Hybridization of Chaotic Systems and Success-History Based Adaptive Differential Evolution. - Adam Viktorin; Roman Senkerik; Michal Pluhacek (HM, 2016)

Chaos Enhanced Repulsive MC-PSO/DE Hybrid. - Michal Pluhacek; Roman Senkerik; Adam Viktorin; Ivan Zelinka (ICAISC (1), 2016)

Extended Study on the Randomization and Sequencing for the Chaos Embedded Heuristic. - Roman Senkerik; Michal Pluhacek; Ivan Zelinka; Adam Viktorin; Jakub Janostik (ICAISC (1), 2016)

Multi-chaotic System Induced Success-History Based Adaptive Differential Evolution. - Adam Viktorin; Michal Pluhacek; Roman Senkerik (ICAISC (1), 2016)

Creating Complex Networks Using Multi-swarm PSO. - Michal Pluhacek; Roman Senkerik; Adam Viktorin; Ivan Zelinka (INCoS, 2016)

On the Transforming of the Indices Selection Mechanism inside Differential Evolution into Complex Network. - Roman Senkerik; Adam Viktorin; Michal Pluhacek (INCoS, 2016)

Network Based Linear Population Size Reduction in SHADE. - Adam Viktorin; Michal Pluhacek; Roman Senkerik (INCoS, 2016)

Study on the Development of Complex Network for Evolutionary and Swarm Based Algorithms. - Roman Senkerik; Ivan Zelinka; Michal Pluhacek; Adam Viktorin (MICAI (2), 2016)

Strange Nonchaotic Attractors in Evolutionary Processing of Astroinformatic Big Data. - Ivan Zelinka; Lumír Kojecký; Roman Senkerik (MICAI (Special Session), 2016)

Comparing selected PSO modifications on CEC 15 benchmark set. - Michal Pluhacek; Tomas Kadavy; Roman Senkerik; Adam Viktorin; Ivan Zelinka (SSCI, 2016)

Steady success clusters in Differential Evolution. - Adam Viktorin; Roman Senkerik; Michal Pluhacek; Ales Zamuda (SSCI, 2016)

Model for comprehensive approach to security management. - Lukas Kralik; Roman Senkerik; Roman Jasek (Int. J. Syst. Assur. Eng. Manag., 2016)

Differential evolution with preferential interaction network. - Pavel Krömer; Milos Kudelka; Roman Senkerik; Michal Pluhacek (CEC, 2017)

Towards Better Population Sizing for Differential Evolution Through Active Population Analysis with Complex Network. - Adam Viktorin; Roman Senkerik; Michal Pluhacek; Tomas Kadavy (CISIS, 2017)

SHADE Algorithm Dynamic Analyzed Through Complex Network. - Adam Viktorin; Roman Senkerik; Michal Pluhacek; Tomas Kadavy (COCOON, 2017)

Comparing Border Strategies for Roaming Particles on Single and Multi-swarm PSO. - Tomas Kadavy; Michal Pluhacek; Adam Viktorin; Roman Senkerik (CSOC (1), 2017)

On the Randomization of Indices Selection for Differential Evolution. - Roman Senkerik; Michal Pluhacek; Adam Viktorin; Tomas Kadavy (CSOC (1), 2017)

The Influence of Archive Size to SHADE. - Adam Viktorin; Roman Senkerik; Michal Pluhacek; Tomas Kadavy (CSOC (1), 2017)

Firework Algorithm Dynamics Simulated And Analyzed With The Aid Of Complex Network. - Tomas Kadavy; Michal Pluhacek; Adam Viktorin; Roman Senkerik (ECMS, 2017)

Different Approaches For Constant Estimation In Analytic Programming. - Zuzana Komínková Oplatková; Adam Viktorin; Roman Senkerik; Tomás Urbánek (ECMS, 2017)

Uncovering Communication Density In PSO Using Complex Network. - Michal Pluhacek; Roman Senkerik; Adam Viktorin; Tomas Kadavy (ECMS, 2017)

Simulation Of Chaotic Dynamics For Chaos Based Optimization - An Extended Study. - Roman Senkerik; Michal Pluhacek; Adam Viktorin; Zuzana Komínková Oplatková; Tomas Kadavy (ECMS, 2017)

SHADE Mutation Strategy Analysis Via Dynamic Simulation In Complex Network. - Adam Viktorin; Roman Senkerik; Michal Pluhacek; Tomas Kadavy (ECMS, 2017)

Hypersphere Universe Boundary Method Comparison on HCLPSO and PSO. - Tomas Kadavy; Michal Pluhacek; Adam Viktorin; Roman Senkerik (HAIS, 2017)

PSO with Partial Population Restart Based on Complex Network Analysis. - Michal Pluhacek; Adam Viktorin; Roman Senkerik; Tomas Kadavy; Ivan Zelinka (HAIS, 2017)

Hybridization of Analytic Programming and Differential Evolution for Time Series Prediction. - Roman Senkerik; Adam Viktorin; Michal Pluhacek; Tomas Kadavy; Ivan Zelinka (HAIS, 2017)

Detecting Potential Design Weaknesses in SHADE Through Network Feature Analysis. - Adam Viktorin; Michal Pluhacek; Roman Senkerik; Tomas Kadavy (HAIS, 2017)

Comparing Strategies for Search Space Boundaries Violation in PSO. - Tomas Kadavy; Michal Pluhacek; Adam Viktorin; Roman Senkerik (ICAISC (2), 2017)

PSO with Attractive Search Space Border Points. - Michal Pluhacek; Roman Senkerik; Adam Viktorin; Tomas Kadavy (ICAISC (2), 2017)

Differential Evolution Driven Analytic Programming for Prediction. - Roman Senkerik; Adam Viktorin; Michal Pluhacek; Tomas Kadavy; Ivan Zelinka (ICAISC (2), 2017)

Archive Analysis in SHADE. - Adam Viktorin; Roman Senkerik; Michal Pluhacek; Tomas Kadavy (ICAISC (2), 2017)

Proposal of a New Swarm Optimization Method Inspired in Bison Behavior. - Anezka Kazikova; Michal Pluhacek; Roman Senkerik; Adam Viktorin (MENDEL, 2017)

Comparison of Three Novelty Approaches to Constants (Ks) Handling in Analytic Programming Powered by SHADE. - Zuzana Komínková Oplatková; Adam Viktorin; Roman Senkerik (MENDEL, 2017)

Randomization of Individuals Selection in Differential Evolution. - Roman Senkerik; Michal Pluhacek; Adam Viktorin; Tomas Kadavy; Zuzana Komínková Oplatková (MENDEL, 2017)

Enhanced Archive for SHADE. - Adam Viktorin; Roman Senkerik; Michal Pluhacek; Tomas Kadavy (MENDEL, 2017)

Partial population restart of firefly algorithm using complex network analysis. - Tomas Kadavy; Michal Pluhacek; Adam Viktorin; Roman Senkerik (SSCI, 2017)

Exploring the shortest path in PSO communication network. - Michal Pluhacek; Roman Senkerik; Adam Viktorin; Tomas Kadavy (SSCI, 2017)

How chaotic sequences and generator sequencing affect the particle trajectory in PSO. - Michal Pluhacek; Roman Senkerik; Adam Viktorin; Tomas Kadavy (SSCI, 2017)

Performance comparison of differential evolution driving analytic programming for regression. - Roman Senkerik; Adam Viktorin; Michal Pluhacek; Tomas Kadavy; Zuzana Komínková Oplatková (SSCI, 2017)

Distance based parameter adaptation for differential evolution. - Adam Viktorin; Roman Senkerik; Michal Pluhacek; Tomas Kadavy; Ales Zamuda (SSCI, 2017)

Chaos-Based Optimization - A Review. - Roman Senkerik; Ivan Zelinka; Michal Pluhacek (J. Adv. Eng. Comput., 2017)

Comparing Boundary Control Methods for Firefly Algorithm. - Tomas Kadavy; Michal Pluhacek; Adam Viktorin; Roman Senkerik (BIOMA, 2018)

Population Diversity Analysis for the Chaotic Based Selection of Individuals in Differential Evolution. - Roman Senkerik; Adam Viktorin; Michal Pluhacek; Tomas Kadavy (BIOMA, 2018)

How Distance Based Parameter Adaptation Affects Population Diversity. - Adam Viktorin; Roman Senkerik; Michal Pluhacek; Tomas Kadavy (BIOMA, 2018)

Chaos Driven PSO with Attractive Search Space Border Points. - Michal Pluhacek; Roman Senkerik; Adam Viktorin; Tomas Kadavy; Ivan Zelinka (CEC, 2018)

On the Population Diversity for the Chaotic Differential Evolution. - Roman Senkerik; Adam Viktorin; Michal Pluhacek; Tomas Kadavy (CEC, 2018)

Cluster Occurrence in the DbL_SHADE Population. - Adam Viktorin; Roman Senkerik; Michal Pluhacek; Tomas Kadavy (CEC, 2018)

Performance of the Bison Algorithm on Benchmark IEEE CEC 2017. - Anezka Kazikova; Michal Pluhacek; Roman Senkerik (CSOS (2), 2018)

On the Applicability of Random and the Best Solution Driven Metaheuristics for Analytic Programming and Time Series Regression. - Roman Senkerik; Adam Viktorin; Michal Pluhacek; Tomas Kadavy; Zuzana Komínková Oplatková (CSOS (2), 2018)

Firefly Algorithm Enhanced by Orthogonal Learning. - Tomas Kadavy; Michal Pluhacek; Adam Viktorin; Roman Senkerik (CSOS (2), 2018)

Distance vs. Improvement Based Parameter Adaptation in SHADE. - Adam Viktorin; Roman Senkerik; Michal Pluhacek; Tomas Kadavy (CSOS (2), 2018)

Boundary Strategies For Firefly Algorithm Analysed Using CEC'17 Benchmark. - Tomas Kadavy; Michal Pluhacek; Adam Viktorin; Roman Senkerik (ECMS, 2018)

Tuning Of The Bison Algorithm Control Parameter. - Anezka Kazikova; Michal Pluhacek; Roman Senkerik (ECMS, 2018)

Pseudo Neural Networks Via Analytic Programming With Direct Coding Of Constant Estimation. - Zuzana Komínková Oplatková; Adam Viktorin; Roman Senkerik (ECMS, 2018)

Study On Velocity Clamping In PSO Using CEC'13 Benchmark. - Michal Pluhacek; Roman Senkerik; Adam Viktorin; Tomas Kadavy (ECMS, 2018)

A Review On The Simulation of Social Networks Inside Heuristic Algorithms. - Roman Senkerik; Michal Pluhacek; Adam Viktorin; Tomas Kadavy; Jakub Janostik; Zuzana Komínková Oplatková (ECMS, 2018)

Comparative Study Of The Distance/Improvement Based SHADE. - Adam Viktorin; Roman Senkerik; Michal Pluhacek; Tomas Kadavy (ECMS, 2018)

Multi-swarm Optimization Algorithm Based on Firefly and Particle Swarm Optimization Techniques. - Tomas Kadavy; Michal Pluhacek; Adam Viktorin; Roman Senkerik (ICAISC (1), 2018)

New Running Technique for the Bison Algorithm. - Anezka Kazikova; Michal Pluhacek; Adam Viktorin; Roman Senkerik (ICAISC (1), 2018)

Particle Swarm Optimization with Single Particle Repulsivity for Multi-modal Optimization. - Michal Pluhacek; Roman Senkerik; Adam Viktorin; Tomas Kadavy (ICAISC (1), 2018)

How Unconventional Chaotic Pseudo-Random Generators Influence Population Diversity in Differential Evolution. - Roman Senkerik; Adam Viktorin; Michal Pluhacek; Tomas Kadavy; Ivan Zelinka (ICAISC (1), 2018)

On the Prolonged Exploration of Distance Based Parameter Adaptation in SHADE. - Adam Viktorin; Roman Senkerik; Michal Pluhacek; Tomas Kadavy (ICAISC (1), 2018)

Differential Evolution and Analytic Programming in the case of Trigonometric Identities Discovery. - Zuzana Komínková Oplatková; Roman Senkerik; Adam Viktorin (IWSSIP, 2018)

Differential Evolution and Chaotic Series. - Roman Senkerik; Adam Viktorin; Michal Pluhacek; Tomas Kadavy; Zuzana Komínková Oplatková (IWSSIP, 2018)

Addressing Premature Convergence with Distance based Parameter Adaptation in SHADE. - Adam Viktorin; Roman Senkerik; Michal Pluhacek; Tomas Kadavy (IWSSIP, 2018)

Tutorials at PPSN 2018. - Gisele Lobo Pappa; Michael T. M. Emmerich; Ana L. C. Bazzan; Will N. Browne; Kalyanmoy Deb; Carola Doerr; Marko Durasevic; Michael G. Epitropakis; Saemundur O. Haraldsson; Domagoj Jakobovic; Pascal Kerschke; Krzysztof Krawiec; et al. (PPSN (2), 2018)

On the Performance Significance of Boundary Strategies for Firefly Algorithm. - Tomas Kadavy; Michal Pluhacek; Roman Senkerik; Adam Viktorin (SSCI, 2018)

Why Simple Population Restart Does Not Work in PSO. - Michal Pluhacek; Roman Senkerik; Adam Viktorin; Tomas Kadavy (SSCI, 2018)

Modified progressive random walk with chaotic PRNG. - Adam Viktorin; Roman Senkerik; Michal Pluhacek; Tomas Kadavy (Int. J. Parallel Emergent Distributed Syst., 2018)

Elliott waves classification by means of neural and pseudo neural networks. - Eva Volná; Martin Kotyrba; Zuzana Komínková Oplatková; Roman Senkerik (Soft Comput., 2018)

Investigation on evolutionary algorithms powered by nonrandom processes. - Ivan Zelinka; Jouni Lampinen; Roman Senkerik; Michal Pluhacek (Soft Comput., 2018)

Swarm virus - Next-generation virus and antivirus paradigm? - Ivan Zelinka; Swagatam Das; Lubomir Sikora; Roman Senkerik (Swarm Evol. Comput., 2018)

The Ensemble of Strategies and Perturbation Parameter in Self-organizing Migrating Algorithm Solving CEC 2019 100-Digit Challenge. - Tomas Kadavy; Michal Pluhacek; Roman Senkerik; Adam Viktorin (CEC, 2019)

Introducing Self-Adaptive Parameters to Self-organizing Migrating Algorithm. - Tomas Kadavy; Michal Pluhacek; Roman Senkerik; Adam Viktorin (CEC, 2019)

Ensemble of Strategies and Perturbation Parameter Based SOMA for Constrained Technological Design Optimization Problem. - Roman Senkerik; Tomas Kadavy; Adam Viktorin; Michal Pluhacek (CEC, 2019)

DISH Algorithm Solving the CEC 2019 100-Digit Challenge. - Adam Viktorin; Roman Senkerik; Michal Pluhacek; Tomas Kadavy; Ales Zamuda (CEC, 2019)

Border Strategies Of The Bison Algorithm. - Anezka Kazikova; Zuzana Komínková Oplatková; Michal Pluhacek; Roman Senkerik (ECMS, 2019)

An Algorithm for Swarm Robot to Avoid Multiple Dynamic Obstacles and to Catch the Moving Target. - Quoc Bao Diep; Ivan Zelinka; Roman Senkerik (ICAISC (2), 2019)

Evolutionary Algorithms Applied to a Shielding Enclosure Design. - Tomas Kadavy; Stanislav Kovar; Michal Pluhacek; Adam Viktorin; Roman Senkerik (ICAISC (1), 2019)

Population Diversity Analysis in Adaptive Differential Evolution Variants with Unconventional Randomization Schemes. - Roman Senkerik; Adam Viktorin; Tomas Kadavy; Michal Pluhacek; Anezka Kazikova; Quoc Bao Diep; Ivan Zelinka (ICAISC (1), 2019)

Analyzing Control Parameters in DISH. - Adam Viktorin; Roman Senkerik; Michal Pluhacek; Tomas Kadavy (ICAISC (1), 2019)

SOMA T3A for Solving the 100-Digit Challenge. - Quoc Bao Diep; Ivan Zelinka; Swagatam Das; Roman Senkerik (SEMCCO/FANCCO, 2019)

Boundary Strategies for Self-organizing Migrating Algorithm Analyzed Using CEC'17 Benchmark. - Tomas Kadavy; Michal Pluhacek; Roman Senkerik; Adam Viktorin (SEMCCO/FANCCO, 2019)

Self-organizing Migrating Algorithm with Non-binary Perturbation. - Michal Pluhacek; Roman Senkerik; Adam Viktorin; Tomas Kadavy (SEMCCO/FANCCO, 2019)

Insight into Adaptive Differential Evolution Variants with Unconventional Randomization Schemes. - Roman Senkerik; Adam Viktorin; Tomas Kadavy; Michal Pluhacek; Ivan Zelinka (SEMCCO/FANCCO, 2019)

Pareto-Based Self-organizing Migrating Algorithm Solving 100-Digit Challenge. - Thanh Cong Truong; Quoc Bao Diep; Ivan Zelinka; Roman Senkerik (SEMCCO/FANCCO, 2019)

Neural Swarm Virus. - Thanh Cong Truong; Ivan Zelinka; Roman Senkerik (SEMCCO/FANCCO, 2019)

Agile approach in multi-criterial decision making. - Lukas Kralik; Roman Jasek; Petr Zacek; Roman Senkerik (Int. J. Manuf. Technol. Manag., 2019)

Distance based parameter adaptation for Success-History based Differential Evolution. - Adam Viktorin; Roman Senkerik; Michal Pluhacek; Tomas Kadavy; Ales Zamuda (Swarm Evol. Comput., 2019)

Towards Human Cell Simulation. - Simone Spolaor; Marco Gribaudo; Mauro Iacono; Tomas Kadavy; Zuzana Komínková Oplatková; Giancarlo Mauri; Sabri Pllana; Roman Senkerik; Natalija Stojanovic; Esko Turunen; Adam Viktorin; Salvatore Vitabile; et al. (High-Performance Modelling and Simulation for Big Data Applications, 2019)

Forecasting Cryptocurrency Value by Sentiment Analysis: An HPC-Oriented Survey of the State-of-the-Art in the Cloud Era. - Ales Zamuda; Vincenzo Crescimanna; Juan C. Burguillo; Joana Matos Dias; Katarzyna Wegrzyn-Wolska; Imen Rached; Horacio González-Vélez; Roman Senkerik; Claudia Pop; Tudor Cioara; Ioan Salomie; Andrea Bracciali (High-Performance Modelling and Simulation for Big Data Applications, 2019)

DISH-XX Solving CEC2020 Single Objective Bound Constrained Numerical optimization Benchmark. - Adam Viktorin; Roman Senkerik; Michal Pluhacek; Tomas Kadavy; Ales Zamuda (CEC, 2020)

SOMA-CL for competition on single objective bound constrained numerical optimization benchmark: a competition entry on single objective bound constrained numerical optimization at the genetic and evolutionary computation conference (GECCO) 2020. - Tomas Kadavy; Michal Pluhacek; Adam Viktorin; Roman Senkerik (GECCO Companion, 2020)

Self-organizing migrating algorithm with clustering-aided migration. - Tomas Kadavy; Michal Pluhacek; Adam Viktorin; Roman Senkerik (GECCO Companion, 2020)

Ensemble of strategies and perturbation parameter based SOMA for optimal stabilization of chaotic oscillations. - Roman Senkerik; Tomas Kadavy; Adam Viktorin; Michal Pluhacek (GECCO Companion, 2020)

Swarm intelligence in cybersecurity. - Ivan Zelinka; Roman Senkerik (GECCO Companion, 2020)

Cascade PID Controller Optimization Using Bison Algorithm. - Anezka Kazikova; Krystian Lapa; Michal Pluhacek; Roman Senkerik (ICAISC (1), 2020)

Is Chaotic Randomization Advantageous for Higher Dimensional Optimization Problems? - Roman Senkerik; Adam Viktorin; Tomas Kadavy; Michal Pluhacek; Ivan Zelinka (ICAISC (2), 2020)

Supervised Classification Methods for Fake News Identification. - Thanh Cong Truong; Quoc Bao Diep; Ivan Zelinka; Roman Senkerik (ICAISC (2), 2020)

Automatic Detection of White Blood Cancer From Bone Marrow Microscopic Images Using Convolutional Neural Networks. - Deepika Kumar; Nikita Jain; Aayush Khurana; Sweta Mittal; Suresh Chandra Satapathy; Roman Senkerik; D. Jude Hemanth (IEEE Access, 2020)

Extended experimental study on PSO with partial population restart based on complex network analysis. - Michal Pluhacek; Adam Viktorin; Roman Senkerik; Tomas Kadavy; Ivan Zelinka (Log. J. IGPL, 2020)

Analysing knowledge transfer in SHADE via complex network. - Adam Viktorin; Roman Senkerik; Michal Pluhacek; Tomas Kadavy (Log. J. IGPL, 2020)

Efficient Image Retrieval by Fuzzy Rules from Boosting and Metaheuristic. - Marcin Korytkowski; Roman Senkerik; Magdalena M. Scherer; Rafal A. Angryk; Miroslaw Kordos; Agnieszka Siwocha (J. Artif. Intell. Soft Comput. Res., 2020)

Chaos-enhanced multiple-choice strategy for particle swarm optimisation. - Michal Pluhacek; Roman Senkerik; Adam Viktorin; Tomas Kadavy (Int. J. Parallel Emergent Distributed Syst., 2020)

SOMA-CLP for competition on bound constrained single objective numerical optimization benchmark: a competition entry on bound constrained single objective numerical optimization at the genetic and evolutionary computation conference (GECCO) 2021. - Tomas Kadavy; Michal Pluhacek; Adam Viktorin; Roman Senkerik (GECCO Companion, 2021)

Self-organizing migrating algorithm with clustering-aided migration and adaptive perturbation vector control. - Tomas Kadavy; Michal Pluhacek; Adam Viktorin; Roman Senkerik (GECCO Companion, 2021)

Explaining SOMA: the relation of stochastic perturbation to population diversity and parameter space coverage. - Michal Pluhacek; Anezka Kazikova; Tomas Kadavy; Adam Viktorin; Roman Senkerik (GECCO Companion, 2021)

How Does the Number of Objective Function Evaluations Impact Our Understanding of Metaheuristics Behavior? - Anezka Kazikova; Michal Pluhacek; Roman Senkerik (IEEE Access, 2021)

An effective data reduction model for machine emergency state detection from big data tree topology structures. - Iaroslav Iaremko; Roman Senkerik; Roman Jasek; Petr Lukastik (Int. J. Appl. Math. Comput. Sci., 2021)

Orthogonal Learning Firefly Algorithm. - Tomas Kadavy; Roman Senkerik; Michal Pluhacek; Adam Viktorin (Log. J. IGPL, 2021)

Exploring clustering in SOMA. - Tomas Kadavy; Michal Pluhacek; Adam Viktorin; Anezka Kazikova; Roman Senkerik (COMPENG, 2022)

Inner Dynamics of Particle Swarm Optimization Interpreted by Complex Network Analysis. - Michal Pluhacek; Tomas Kadavy; Anezka Kazikova; Adam Viktorin; Roman Senkerik (COMPENG, 2022)

ARIMA for Short-Term and LSTM for Long-Term in Daily Bitcoin Price Prediction. - Tran Kim Toai; Roman Senkerik; Ivan Zelinka; Adam Ulrich; Vo Thi Xuan Hanh; Vo Minh Huan (ICAISC (1), 2022)

Effective Parametric Optimization of Heating-Cooling Process with Optimum near the Domain Border. - Hubert Guzowski; Maciej Smolka; Aleksander Byrski; Libor Pekar; Zuzana Komínková Oplatková; Roman Senkerik; Radek Matusu; Frantisek Gazdos (IS, 2022)

Socio-cognitive Optimization of Time-delay Control Problems using Evolutionary Metaheuristics. - Piotr Kipinski; Hubert Guzowski; Aleksandra Urbanczyk; Maciej Smolka; Marek Kisiel-Dorohinicki; Aleksander Byrski; Zuzana Komínková Oplatková; Roman Senkerik; Libor Pekar; Radek Matusu; Frantisek Gazdos (IS, 2022)

Socio-cognitive Optimization of Time-delay Control Problems using Agent-based Metaheuristics. - Mateusz Nabywaniec; Hubert Guzowski; Aleksandra Urbanczyk; Maciej Smolka; Marek Kisiel-Dorohinicki; Aleksander Byrski; Zuzana Komínková Oplatková; Roman Senkerik; Libor Pekar; Radek Matusu; Frantisek Gazdos (IS, 2022)

Using spatial neighborhoods for parameter adaptation: An improved success history based differential evolution. - Arka Ghosh 001; Swagatam Das; Asit Kumar Das; Roman Senkerik; Adam Viktorin; Ivan Zelinka; Antonio David Masegosa (Swarm Evol. Comput., 2022)

Impact of Boundary Control Methods on Bound-Constrained Optimization Benchmarking. - Tomas Kadavy; Adam Viktorin; Anezka Kazikova; Michal Pluhacek; Roman Senkerik (IEEE Trans. Evol. Comput., 2022)

Exploring the Frequency of Boundary Control Methods Activation in Metaheuristic Algorithms. - Tomas Kadavy; Michal Pluhacek; Adam Viktorin; Roman Senkerik (GECCO Companion, 2023)

Exploring Adaptive Components of SOMA. - Marcela Matusikova; Michal Pluhacek; Tomas Kadavy; Adam Viktorin; Roman Senkerik (GECCO Companion, 2023)

Leveraging Large Language Models for the Generation of Novel Metaheuristic Optimization Algorithms. - Michal Pluhacek; Anezka Kazikova; Tomas Kadavy; Adam Viktorin; Roman Senkerik (GECCO Companion, 2023)

Maximizing Efficiency: A Comparative Study of SOMA Algorithm Variants and Constraint Handling Methods for Time Delay System Optimization. - Roman Senkerik; Tomas Kadavy; Peter Janku; Michal Pluhacek; Hubert Guzowski; Libor Pekar; Radek Matusu; Adam Viktorin; Maciej Smolka; Aleksander Byrski; Zuzana Komínková Oplatková (GECCO Companion, 2023)

Investigating the Potential of AI-Driven Innovations for Enhancing Differential Evolution in Optimization Tasks. - Michal Pluhacek; Anezka Kazikova; Adam Viktorin; Tomas Kadavy; Roman Senkerik (SMC, 2023)

Efficient Time-Delay System Optimization with Auto-Configured Metaheuristics. - Roman Senkerik; Aleksander Byrski; Hubert Guzowski; Peter Janku; Tomas Kadavy; Zuzana Komínková Oplatková; Radek Matusu; Michal Pluhacek; Libor Pekar; Maciej Smolka; Adam Viktorin (SMC, 2023)

Hierarchical clustering-based algorithms for optimal waste collection point locations in large-scale problems: A framework development and case study. - Adam Viktorin; Dusan Hrabec; Vlastimír Nevrlý; Radovan Somplák; Roman Senkerik (Comput. Ind. Eng., 2023)

Predicting Bitcoin's Price: A Critical Review of Forecasting Models and Methods. - Tuan Luc Minh; Roman Senkerik; Tran Khanh Dang (FDSE (1), 2024)

A Critical Examination of Large Language Model Capabilities in Iteratively Refining Differential Evolution Algorithm. - Michal Pluhacek; Jozef Kovác; Peter Janku; Tomas Kadavy; Roman Senkerik; Adam Viktorin (GECCO Companion, 2024)

Using LLM for Automatic Evolvement of Metaheuristics from Swarm Algorithm SOMA. - Michal Pluhacek; Jozef Kovác; Adam Viktorin; Peter Janku; Tomas Kadavy; Roman Senkerik (GECCO Companion, 2024)

Measuring Population Diversity in Variable Dimension Search Spaces. - Michal Pluhacek; Adam Viktorin; Tomas Kadavy; Jozef Kovác; Roman Senkerik (GECCO Companion, 2024)

DISH Solving the GNBG-generated Test Suite. - Adam Viktorin; Michal Pluhacek; Tomas Kadavy; Jozef Kovác; Peter Janku; Roman Senkerik (GECCO Companion, 2024)

Implementing Call Bots: An Architectural Guide. - Jozef Kovác; Roman Senkerik; Adam Viktorin (ICAISC (2), 2024)

Comparison of Hyperparameter Tuning Optimization Methods for LSTM and Stock Price Prediction. - Peng Li; Adam Viktorin; Roman Senkerik (ICAISC (1), 2024)

Open and Closed Source Models for LLM-Generated Metaheuristics Solving Engineering Optimization Problem. - Roman Senkerik; Adam Viktorin; Tomas Kadavy; Jozef Kovác; Peter Janku; Libor Pekar; Hubert Guzowski; Maciej Smolka; Aleksander Byrski; Michal Pluhacek (EvoApplications (2), 2025)

Advanced Cryptocurrency Price Prediction: Incorporating Time-Reversed ARIMA and BVIC. - Luc Minh Tuan; Roman Senkerik; Tran Khanh Dang (IMCOM, 2025)

Metaheuristic-Based Model Optimization of a Steam-Filled Chamber. - Hubert Guzowski; Roman Senkerik; Maciej Smolka; Frantisek Gazdos; Miroslav Pálka; Libor Pekar; Michal Pluhacek; Adam Viktorin; Tomas Kadavy; Aleksander Byrski; Zuzana Komínková Oplatková; Radek Matusu; et al. (IEEE Access, 2025)

Comprehensive benchmarking of knowledge graph embeddings methods for Android malware detection. - Jan Kincl; Tome Eftimov; Adam Viktorin; Roman Senkerik; Tanja Pavleska (Expert Syst. Appl., 2025)

Isolation Forest in Novelty Detection Scenario. - Adam Ulrich; Jan Krnávek; Roman Senkerik; Zuzana Komínková Oplatková; Radek Vala (CoRR, 2025)