Roman Senkerik

Roman Senkerik, Ivan Zelinka, Václav Snásel, 2010, 2010 International Conference on Computer Information Systems and Industrial Management Applications (CISIM).

Distance vs. Improvement Based Parameter Adaptation in SHADE

Michal Pluhacek, Roman Senkerik, Adam Viktorin, 2018, CSOS.

On the Prolonged Exploration of Distance Based Parameter Adaptation in SHADE

Michal Pluhacek, Roman Senkerik, Adam Viktorin, 2018, ICAISC.

Complex Analysis of EEG Signal for Biometrical Classification Purposes

Roman Senkerik, Roman Jasek, Jaromir Svejda, 2014 .

Comparing selected PSO modifications on CEC 15 benchmark set

Michal Pluhacek, Roman Senkerik, Adam Viktorin, 2016, 2016 IEEE Symposium Series on Computational Intelligence (SSCI).

Cost Functions Based on Different Types of Distance Measurements for Pseudo Neural Network Synthesis

Roman Senkerik, Zuzana Komínková Oplatková, 2015, MENDEL.

Comparing Border Strategies for Roaming Particles on Single and Multi-swarm PSO

Michal Pluhacek, Roman Senkerik, Adam Viktorin, 2017, CSOC.

Comparison between Neural Network Steganalysis and Linear Classification Method Stegdetect

Roman Senkerik, Ivan Zelinka, Jiri Holoska, 2010, 2010 Second International Conference on Computational Intelligence, Modelling and Simulation.

Model for comprehensive approach to security management

Roman Senkerik, Roman Jasek, Lukas Kralik, 2016, Int. J. Syst. Assur. Eng. Manag..

On the behavior and performance of chaos driven PSO algorithm with inertia weight

Michal Pluhacek, Roman Senkerik, Ivan Zelinka, 2013, Comput. Math. Appl..

Pseudo Neural Networks For Iris Data Classification

Roman Senkerik, Zuzana Komínková Oplatková, Ales Kominek, 2014, ECMS.

Scheduling The Flow Shop With Blocking Problem With The Chaos-Induced Discrete Self Organising Migrating Algorithm

Michal Pluhacek, Roman Senkerik, Donald Davendra, 2013, ECMS.

Differential evolution with preferential interaction network

Michal Pluhacek, Roman Senkerik, Pavel Krömer, 2017, 2017 IEEE Congress on Evolutionary Computation (CEC).

Comparison of Swarm and Evolutionary Based Algorithms for the Stabilization of Chaotic Oscillations

Michal Pluhacek, Roman Senkerik, Adam Viktorin, 2016 .

A Brief Overview of the Synergy Between Metaheuristics and Unconventional Dynamics

Roman Senkerik, R. Šenkeřík, 2018, Lecture Notes in Electrical Engineering.

ViewModel Visualization Tool

Roman Senkerik, Erik Kral, Petr Capek, 2016, 2016 International Conference on Computational Science and Computational Intelligence (CSCI).

Comparison of Chaos Driven PSO and Differential Evolution on the Selected PID Tuning Problem

Michal Pluhacek, Roman Senkerik, Ivan Zelinka, 2014, CISIM.

ARPSO and fk-PSO on CEC 15 benchmark – Comparative study

Michal Pluhacek, Roman Senkerik, Tomas Kadavy, 2017 .

Population Diversity Analysis in Adaptive Differential Evolution Variants with Unconventional Randomization Schemes

Michal Pluhacek, Roman Senkerik, Adam Viktorin, 2019, ICAISC.

Investigation on evolutionary predictive control of chemical reactor

Michal Pluhacek, Roman Senkerik, Ivan Zelinka, 2015, J. Appl. Log..

An Initial Study on the New Adaptive Approach for Multi-chaotic Differential Evolution

Michal Pluhacek, Roman Senkerik, Zuzana Komínková Oplatková, 2015, CSOC.

Multiswarm PSO with supersized swarms - Initial performance study

Michal Pluhacek, Roman Senkerik, Ivan Zelinka, 2016 .

Chaos Enhanced Differential Evolution in the Task of Evolutionary Control of Selected Set of Discrete Chaotic Systems

Michal Pluhacek, Roman Senkerik, Donald Davendra, 2014, TheScientificWorldJournal.

Chaos Powered Grammatical Evolution

Roman Senkerik, Ivan Zelinka, Petr Saloun, 2014, CISIM.

Analysing knowledge transfer in SHADE via complex network

Michal Pluhacek, Roman Senkerik, Adam Viktorin, 2018, Log. J. IGPL.

Partial population restart of firefly algorithm using complex network analysis

Michal Pluhacek, Roman Senkerik, Adam Viktorin, 2017, 2017 IEEE Symposium Series on Computational Intelligence (SSCI).

Multi-chaotic Differential Evolution: A Preliminary Study

Michal Pluhacek, Roman Senkerik, Ivan Zelinka, 2014, ICAISC.

Using complex network visualization and analysis for uncovering the inner dynamics of PSO algorithm

Michal Pluhacek, Roman Senkerik, Adam Viktorin, 2017 .

Application of Neural Networks for the Classification of Gender from Kick Force Profile - A Small Scale Study

Michal Pluhacek, Roman Senkerik, Dora Lapkova, 2014, IBICA.

Utilising the chaos-induced discrete self organising migrating algorithm to solve the lot-streaming flowshop scheduling problem with setup time

Michal Pluhacek, Roman Senkerik, Ivan Zelinka, 2014, Soft Comput..

Chaos Driven Differential Evolution with Lozi Map in the Task of Chemical Reactor Optimization

Michal Pluhacek, Roman Senkerik, Ivan Zelinka, 2013, ICAISC.

Orthogonal Learning Firefly Algorithm

Michal Pluhacek, Roman Senkerik, Adam Viktorin, 2020 .

Chaos Enhanced Repulsive MC-PSO/DE Hybrid

Michal Pluhacek, Roman Senkerik, Adam Viktorin, 2016, ICAISC.

Study On Swarm Dynamics Converted Into Complex Network

Michal Pluhacek, Roman Senkerik, Adam Viktorin, 2016, ECMS.

Self-organizing Migrating Algorithm with Non-binary Perturbation

Michal Pluhacek, Roman Senkerik, Adam Viktorin, 2019, SEMCCO/FANCCO.

Pareto-Based Self-organizing Migrating Algorithm Solving 100-Digit Challenge

Roman Senkerik, Ivan Zelinka, Thanh Cong Truong, 2019, SEMCCO/FANCCO.

Multi-criterial evaluation – general overview

Roman Senkerik, Roman Jasek, Lukas Kralik, 2016 .

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

Michal Pluhacek, Roman Senkerik, Adam Viktorin, 2020, GECCO Companion.

Artificial Intelligence Perspectives in Intelligent Systems - Proceedings of the 5th Computer Science On-line Conference 2016 (CSOC2016), Vol 1

Roman Senkerik, Zuzana Kominkova Oplatkova, Zdenka Prokopova, 2016, CSOC.

SOMA T3A for Solving the 100-Digit Challenge

Roman Senkerik, Ivan Zelinka, Swagatam Das, 2019, SEMCCO/FANCCO.

Designing PID Controller For DC Motor System By Means Of Enhanced PSO Algorithm With Discrete Chaotic Lozi Map

Michal Pluhacek, Roman Senkerik, Ivan Zelinka, 2012, ECMS.

Simulation Of The Differential Evolution Performance Dependency On Switching Of The Driving Chaotic Systems

Michal Pluhacek, Roman Senkerik, Ivan Zelinka, 2014, ECMS.

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, Ivan Zelinka, Zuzana Komínková Oplatková, 2012, NOSTRADAMUS.

Evolutionary Control of Chaotic Lozi Map by Means of Chaos Driven Differential Evolution

Michal Pluhacek, Roman Senkerik, Ivan Zelinka, 2014 .

Chaos particle swarm optimization with Eensemble of chaotic systems

Michal Pluhacek, Roman Senkerik, Donald Davendra, 2015, Swarm Evol. Comput..

Utilising the chaos-induced discrete self organising migrating algorithm to solve the lot-streaming flowshop scheduling problem with setup time

Michal Pluhacek, Roman Senkerik, Ivan Zelinka, 2014, Soft Computing.

Regarding the Behavior of Bison Runners Within the Bison Algorithm

Michal Pluhacek, Roman Senkerik, Anezka Kazikova, 2018 .

Do evolutionary algorithms indeed require randomness?

Michal Pluhacek, Roman Senkerik, Ivan Zelinka, 2013, 2013 IEEE Congress on Evolutionary Computation.

Hybridization of Multi-chaotic Dynamics and Adaptive Control Parameter Adjusting jDE Strategy

Michal Pluhacek, Roman Senkerik, Adam Viktorin, 2016 .

Differential Evolution and Analytic Programming in the case of Trigonometric Identities Discovery

Roman Senkerik, Adam Viktorin, Zuzana Komínková Oplatková, 2018, 2018 25th International Conference on Systems, Signals and Image Processing (IWSSIP).

Differential Evolution and Chaotic Series

Michal Pluhacek, Roman Senkerik, Adam Viktorin, 2018, 2018 25th International Conference on Systems, Signals and Image Processing (IWSSIP).

Lozi Map Generated Initial Population in Analytical Programming

Michal Pluhacek, Roman Senkerik, Adam Viktorin, 2016, CSOC.

Ensemble of Strategies and Perturbation Parameter Based SOMA for Constrained Technological Design Optimization Problem

Michal Pluhacek, Roman Senkerik, Adam Viktorin, 2019, 2019 IEEE Congress on Evolutionary Computation (CEC).

Swarm virus - Next-generation virus and antivirus paradigm?

Roman Senkerik, Ivan Zelinka, Swagatam Das, 2018, Swarm Evol. Comput..

Preliminary Study on the Randomization and Sequencing for the Chaos Embedded Heuristic

Michal Pluhacek, Roman Senkerik, Ivan Zelinka, 2015, AECIA.

Comparison of Three Novelty Approaches to Constants (Ks) Handling in Analytic Programming Powered by SHADE

Roman Senkerik, Adam Viktorin, Zuzana Komínková Oplatková, 2017, MENDEL.

Do Evolutionary Algorithm Dynamics Create Complex Network Structures?

Roman Senkerik, Ivan Zelinka, Roman Jasek, 2011, Complex Syst..

MC-PSO/DE Hybrid with Repulsive Strategy - Initial Study

Michal Pluhacek, Roman Senkerik, Ivan Zelinka, 2015, HAIS.

Comparison of evolutionary algorithms in the task of chaos control optimization

Roman Senkerik, Ivan Zelinka, Donald Davendra, 2007, 2007 IEEE Congress on Evolutionary Computation.

Integrated security system management and incident management from the perspective of organizational structure

Roman Senkerik, Roman Jasek, Lukas Kralik, 2015, 2015 International Conference on Logistics, Informatics and Service Sciences (LISS).

Detection of Steganography Inserted by OutGuess and Steghide by Means of Neural Networks

Roman Senkerik, Ivan Zelinka, Zuzana Komínková Oplatková, 2009, 2009 Third Asia International Conference on Modelling & Simulation.

Exploring the shortest path in PSO communication network

Michal Pluhacek, Roman Senkerik, Adam Viktorin, 2017, 2017 IEEE Symposium Series on Computational Intelligence (SSCI).

Gathering algorithm: A new concept of PSO based metaheuristic with dimensional mutation

Michal Pluhacek, Roman Senkerik, Ivan Zelinka, 2014, 2014 IEEE Symposium on Swarm Intelligence.

Insight into Adaptive Differential Evolution Variants with Unconventional Randomization Schemes

Michal Pluhacek, Roman Senkerik, Adam Viktorin, 2019, SEMCCO/FANCCO.

Detecting Potential Design Weaknesses in SHADE Through Network Feature Analysis

Michal Pluhacek, Roman Senkerik, Adam Viktorin, 2017, HAIS.

Particle Swarm Optimizer with Diversity Measure Based on Swarm Representation in Complex Network

Michal Pluhacek, Roman Senkerik, Ivan Zelinka, 2015, AECIA.

Study on the Time Development of Complex Network for Metaheuristic

Michal Pluhacek, Roman Senkerik, Adam Viktorin, 2016, CSOC.

On the Applicability of Random and the Best Solution Driven Metaheuristics for Analytic Programming and Time Series Regression

Michal Pluhacek, Roman Senkerik, Adam Viktorin, 2018, CSOS.

Prediction Of Raw Material Batches For The Production Of Clinker By Means Of Artificial Neural Networks -Analysis Of Behaviour

Roman Senkerik, Zuzana Komínková Oplatková, 2015, ECMS.

Multi-chaotic Approach for Particle Acceleration in PSO

Michal Pluhacek, Roman Senkerik, Adam Viktorin, 2016, HM.

Evolutionary Design of Chaos Control in 1D

Roman Senkerik, Ivan Zelinka, Zuzana Komínková Oplatková, 2010, Evolutionary Algorithms and Chaotic Systems.

Evolutionary Optimization Of Chaos Control - A New Approach

Roman Senkerik, Ivan Zelinka, I. Zelinka, 2008 .

Hybrid self organizing migrating algorithm - Scatter search for the task of capacitated vehicle routing problem

Roman Senkerik, Ivan Zelinka, Roman Jasek, 2012 .

Firefly Algorithm: Enhanced Version with Partial Population Restart Using Complex Network Analysis

Michal Pluhacek, Roman Senkerik, Adam Viktorin, 2017 .

Discrete Self-Organising Migrating Algorithm for flow-shop scheduling with no-wait makespan

Roman Senkerik, Ivan Zelinka, Roman Jasek, 2013, Math. Comput. Model..

Network Based Linear Population Size Reduction in SHADE

Michal Pluhacek, Roman Senkerik, Adam Viktorin, 2016, 2016 International Conference on Intelligent Networking and Collaborative Systems (INCoS).

Pseudo Neural Networks Via Analytic Programming With Direct Coding Of Constant Estimation

Roman Senkerik, Adam Viktorin, Zuzana Komínková Oplatková, 2018, ECMS.

OPTIMIZATION OF FEEDBACK CONTROL OF CHAOS BY EVOLUTIONARY ALGHORITHMS

Roman Senkerik, Ivan Zelinka, Eduard Navratil, 2006 .

Towards Human Cell Simulation

Roman Senkerik, Adam Viktorin, Tomas Kadavy, 2019, High-Performance Modelling and Simulation for Big Data Applications.

Utilization of Analytic Programming for Evolutionary Synthesis of the Robust Controller for Set of Chaotic Systems

Michal Pluhacek, Roman Senkerik, Ivan Zelinka, 2013, NOSTRADAMUS.

Differential Evolution for Constrained Industrial Optimization

Michal Pluhacek, Roman Senkerik, Adam Viktorin, 2017 .

Evolutionary Algorithms Applied to a Shielding Enclosure Design

Michal Pluhacek, Roman Senkerik, Adam Viktorin, 2019, ICAISC.

Multiple Choice Strategy for PSO Algorithm Enhanced with Dimensional Mutation

Michal Pluhacek, Roman Senkerik, Ivan Zelinka, 2015, ICAISC.

Automatic Detection of White Blood Cancer From Bone Marrow Microscopic Images Using Convolutional Neural Networks

Roman Senkerik, Suresh Chandra Satapathy, Deepika Kumar, 2020, IEEE Access.

How Unconventional Chaotic Pseudo-Random Generators Influence Population Diversity in Differential Evolution

Michal Pluhacek, Roman Senkerik, Adam Viktorin, 2018, ICAISC.

Self-organizing migrating algorithm with clustering-aided migration

Michal Pluhacek, Roman Senkerik, Adam Viktorin, 2020, GECCO Companion.

Recent advances in swarm and evolutionary computation-foreword

Roman Senkerik, Ivan Zelinka, Václav Snásel, 2015, Swarm Evol. Comput..

Performance Testing of Multi-Chaotic Differential Evolution Concept on Shifted Benchmark Functions

Michal Pluhacek, Roman Senkerik, Ivan Zelinka, 2014, HAIS.

Hybridization of Adaptivity and Chaotic Dynamics for Differential Evolution

Michal Pluhacek, Roman Senkerik, Ivan Zelinka, 2015, MENDEL.

On the Evolutionary Optimization of Chaos Control - A Brief Survey

Roman Senkerik, R. Šenkeřík, 2012, NOSTRADAMUS.

Intelligent Systems in Cybernetics and Automation Theory - Proceedings of the 4th Computer Science On-line Conference 2015 (CSOC2015), Vol 2: Intelligent Systems in Cybernetics and Automation Theory

Roman Senkerik, Zuzana Kominkova Oplatkova, Zdenka Prokopova, 2015, CSOC.

Efficient Image Retrieval by Fuzzy Rules from Boosting and Metaheuristic

Roman Senkerik, Marcin Korytkowski, Rafal A. Angryk, 2019, J. Artif. Intell. Soft Comput. Res..

Modified progressive random walk with chaotic PRNG

Michal Pluhacek, Roman Senkerik, Adam Viktorin, 2018, Int. J. Parallel Emergent Distributed Syst..

Application of Evolutionary Techniques for Optimization of Chaos Control - Introduction of Three Approaches

Roman Senkerik, Ivan Zelinka, Roman Jasek, 2013, Handbook of Optimization.

Elliott waves classification by means of neural and pseudo neural networks

Roman Senkerik, Eva Volná, Martin Kotyrba, 2018, Soft Comput..

Hypersphere Universe Boundary Method Comparison on HCLPSO and PSO

Michal Pluhacek, Roman Senkerik, Adam Viktorin, 2017, HAIS.

Ensemble of strategies and perturbation parameter based SOMA for optimal stabilization of chaotic oscillations

Michal Pluhacek, Roman Senkerik, Adam Viktorin, 2020, GECCO Companion.

Chaos based optimization: Implementations and possibilities

Michal Pluhacek, Roman Senkerik, Adam Viktorin, 2017 .

Agile approach in multi-criterial decision making

Roman Senkerik, Roman Jasek, Lukas Kralik, 2019, Int. J. Manuf. Technol. Manag..

Differential Evolution Driven Analytic Programming for Prediction

Michal Pluhacek, Roman Senkerik, Adam Viktorin, 2017, ICAISC.

Multiple Choice Strategy - A Novel Approach for Particle Swarm Optimization - Preliminary Study

Michal Pluhacek, Roman Senkerik, Ivan Zelinka, 2013, ICAISC.

Chaos driven Differential Evolution in the task of chaos control optimization

Roman Senkerik, Ivan Zelinka, Zuzana Komínková Oplatková, 2010, IEEE Congress on Evolutionary Computation.

Converting PSO dynamics into complex network - Initial study

Michal Pluhacek, Roman Senkerik, Ivan Zelinka, 2016 .

Utilization of analytic programming for the evolutionary synthesis of the robust multi-chaotic controller for selected sets of discrete chaotic systems

Michal Pluhacek, Roman Senkerik, Ivan Zelinka, 2014, Soft Computing.

Synthesis of Control Law for Chaotic Logistic Equation - Preliminary Study

Roman Senkerik, Ivan Zelinka, Jiri Holoska, 2010, 2010 Fourth Asia International Conference on Mathematical/Analytical Modelling and Computer Simulation.

Towards an Empirical Analysis of .NET Framework and C# Language Features' Adoption

Roman Senkerik, Erik Kral, Petr Capek, 2015, 2015 International Conference on Computational Science and Computational Intelligence (CSCI).

Synthesis Of Control Law For Chaotic Henon System Preliminary Study

Roman Senkerik, Ivan Zelinka, Zuzana Komínková Oplatková, 2010, ECMS.

Analytical Programming With Extended Individuals

Michal Pluhacek, Roman Senkerik, Adam Viktorin, 2016, ECMS.

Different Approaches For Constant Estimation In Analytic Programming

Roman Senkerik, Adam Viktorin, Tomás Urbánek, 2017, ECMS.

Automation Control Theory Perspectives in Intelligent Systems - Proceedings of the 5th Computer Science On-line Conference 2016 (CSOC2016), Vol 3

Roman Senkerik, Zuzana Kominkova Oplatkova, Zdenka Prokopova, 2016, CSOC.

Tuning Of The Bison Algorithm Control Parameter

Michal Pluhacek, Roman Senkerik, Anezka Kazikova, 2018, ECMS.

SYNTHESIS OF FEEDBACK CONTROLLER FOR CHAOTIC SYSTEMS BY MEANS OF EVOLUTIONARY TECHNIQUES

Roman Senkerik, Ivan Zelinka, Roman Jasek, 2011 .

Investigation On Evolutionary Edtas Chaos Control

Roman Senkerik, Ivan Zelinka, Eduard Navratil, 2006 .

DISH-XX Solving CEC2020 Single Objective Bound Constrained Numerical optimization Benchmark

Michal Pluhacek, Roman Senkerik, Adam Viktorin, 2020, 2020 IEEE Congress on Evolutionary Computation (CEC).

DISH Algorithm Solving the CEC 2019 100-Digit Challenge

Michal Pluhacek, Roman Senkerik, Adam Viktorin, 2019, 2019 IEEE Congress on Evolutionary Computation (CEC).

Chaos-enhanced multiple-choice strategy for particle swarm optimisation

Michal Pluhacek, Roman Senkerik, Adam Viktorin, 2018, Int. J. Parallel Emergent Distributed Syst..

Designing PID Controller for DC Motor by Means of Enhanced PSO Algorithm with Dissipative Chaotic Map

Michal Pluhacek, Roman Senkerik, Ivan Zelinka, 2012, SOCO.

The Ensemble of Strategies and Perturbation Parameter in Self-organizing Migrating Algorithm Solving CEC 2019 100-Digit Challenge

Michal Pluhacek, Roman Senkerik, Adam Viktorin, 2019, 2019 IEEE Congress on Evolutionary Computation (CEC).

Evolutionary Techniques for Deterministic Chaos Control

Roman Senkerik, Ivan Zelinka, Zuzana Komínková Oplatková, 2008, EIAT/IETA.

A Multiplatform Comparison of a Dynamic Compilation Using Roslyn and Mathematical Parser Libraries in .NET for Expression Evaluation

Roman Senkerik, Erik Kral, Petr Capek, 2015, CSOC.

Steady success clusters in Differential Evolution

Michal Pluhacek, Roman Senkerik, Adam Viktorin, 2016, 2016 IEEE Symposium Series on Computational Intelligence (SSCI).

Analysis Of EEG Signal For Using In Biometrical Classification

Roman Senkerik, Roman Jasek, Jaromir Svejda, 2014, ECMS.

Evolutionary Synthesis and Control of Chaotic Systems

Roman Senkerik, Ivan Zelinka, Zuzana Kominkova Oplatkova, 2009 .

Object Oriented Role-Based Access Control

Roman Senkerik, Lukas Kralik, Petr Stipek, 2016, SECURWARE 2016.

On Convergence of Evolutionary Algorithms Powered by Non-random Generators

Michal Pluhacek, Roman Senkerik, Ivan Zelinka, 2014, ICAISC.

Classification with Pseudo Neural Networks Based on Evolutionary Symbolic Regression

Roman Senkerik, Zuzana Komínková Oplatková, Z. Oplatková, 2011, 2011 International Conference on P2P, Parallel, Grid, Cloud and Internet Computing.

Multi-swarm Optimization Algorithm Based on Firefly and Particle Swarm Optimization Techniques

Michal Pluhacek, Roman Senkerik, Adam Viktorin, 2018, ICAISC.

Strange Nonchaotic Attractors in Evolutionary Processing of Astroinformatic Big Data

Roman Senkerik, Ivan Zelinka, Lumír Kojecký, 2016, 2016 Fifteenth Mexican International Conference on Artificial Intelligence (MICAI).

Evolutionary Identification of Chaotic System

Roman Senkerik, Ivan Zelinka, Donald Davendra, 2009 .

Chaos PSO algorithm driven alternately by two different chaotic maps - An initial study

Michal Pluhacek, Roman Senkerik, Ivan Zelinka, 2013, 2013 IEEE Congress on Evolutionary Computation.

Firework Algorithm Dynamics Simulated And Analyzed With The Aid Of Complex Network

Michal Pluhacek, Roman Senkerik, Adam Viktorin, 2017, ECMS.

Optimization of Artificial Neural Network Structure in the Case of Steganalysis

Roman Senkerik, Roman Jasek, Michal Procházka, 2013, Handbook of Optimization.

Using Brain - Computer Interface For Control Robot Movement

Roman Senkerik, Roman Jasek, Jaromir Svejda, 2015, ECMS.

Tuning the Lozi Map in Chaos Driven PSO Inspired by the Multi-chaotic Approach

Michal Pluhacek, Roman Senkerik, Ivan Zelinka, 2014 .

Advanced Testing Tool for .NET Applications

Roman Senkerik, Erik Kral, Petr Capek, 2017, 2017 International Conference on Computational Science and Computational Intelligence (CSCI).

Differential Evolution and Deterministic Chaotic Series: A Detailed Study

Michal Pluhacek, Roman Senkerik, Adam Viktorin, 2018, MENDEL.

Simulating the Effect of Adaptivity on Randomization

Michal Pluhacek, Roman Senkerik, Adam Viktorin, 2018 .

Multiple Choice Strategy For PSO Algorithm - Performance Analysis On Shifted Test Functions

Michal Pluhacek, Roman Senkerik, Ivan Zelinka, 2013, ECMS.

Comparing Boundary Control Methods for Firefly Algorithm

Michal Pluhacek, Roman Senkerik, Adam Viktorin, 2018, BIOMA.

Extended Initial Study on the Performance of Enhanced PSO Algorithm with Lozi Chaotic Map

Michal Pluhacek, Roman Senkerik, Ivan Zelinka, 2012, NOSTRADAMUS.

Cascade PID Controller Optimization Using Bison Algorithm

Michal Pluhacek, Roman Senkerik, Krystian Lapa, 2020, ICAISC.

Single Swarm and Simple Multi-Swarm PSO Comparison

Michal Pluhacek, Roman Senkerik, Adam Viktorin, 2018 .

How Does the Number of Objective Function Evaluations Impact Our Understanding of Metaheuristics Behavior?

Michal Pluhacek, Roman Senkerik, Anezka Kazikova, 2021, IEEE Access.

Explaining SOMA: the relation of stochastic perturbation to population diversity and parameter space coverage

Michal Pluhacek, Roman Senkerik, Adam Viktorin, 2021, GECCO Companion.

Self-organizing migrating algorithm with clustering-aided migration and adaptive perturbation vector control

Michal Pluhacek, Roman Senkerik, Adam Viktorin, 2021, GECCO Companion.

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

Michal Pluhacek, Roman Senkerik, Adam Viktorin, 2021, GECCO Companion.

Chaos Driven Evolutionary Algorithm: a New Approach for Evolutionary Optimization

Michal Pluhacek, Roman Senkerik, Ivan Zelinka, 2013 .

PSO algorithm enhanced with Lozi Chaotic Map - Tuning experiment

Michal Pluhacek, Roman Senkerik, Ivan Zelinka, 2015 .

Influence of chaotic dynamics on the performance of evolutionary algorithms - An initial study

Roman Senkerik, Ivan Zelinka, Zuzana Kominkova Oplatkova, 2012 .

Does evolutionary dynamics need randomness, complexity or determinism?

Roman Senkerik, Ivan Zelinka, I. Zelinka, 2015 .

OPTIMIZATION AND EVOLUTIONARY CONTROL OF CHEMICAL REACTOR

Roman Senkerik, Ivan Zelinka, 2006 .

Synthesis of feedback control law for stabilization of chaotic system oscillations by means of analytic programming - Preliminary study

Roman Senkerik, Ivan Zelinka, Roman Jasek, 2012 .

CLUSTERED SELF ORGANISING MIGRATING ALGORITHM FOR THE QUADRATIC ASSIGNMENT PROBLEM

Roman Senkerik, Ivan Zelinka, Donald Davendra, 2009 .

AN INVESTIGATION ON EVOLUTIONARY IDENTIFICATION OF CONTINUOUS CHAOTIC SYSTEMS

Roman Senkerik, Ivan Zelinka, Roman Jasek, 2011 .

TUNING OF THE BISON ALGORITHM CONTROL PARAMETERS

Michal Pluhacek, Roman Senkerik, Anezka Kazikova, 2018 .

OPTIMIZATION AND CONTROL OF BATCH REACTOR BY EVOLUTIONARY ALGORITHMS

Roman Senkerik, Ivan Zelinka, 2005 .

A Brief Survey on the Chaotic Systems as the Pseudo Random Number Generators

Michal Pluhacek, Roman Senkerik, Ivan Zelinka, 2015 .

On the adaptivity and complexity embedded into differential evolution

Michal Pluhacek, Roman Senkerik, Ivan Zelinka, 2016 .

Evolutionary Control of Chaotic Burgers Map by means of Chaos Enhanced Differential Evolution

Michal Pluhacek, Roman Senkerik, Ivan Zelinka, 2022 .

Proposal of Model for Security Management Integrated System

Roman Senkerik, Lukas Kralik, .

Designing PID controller for 4th order system by means of enhanced PSO algorithm with discrete chaotic Dissipative standard map

Michal Pluhacek, Roman Senkerik, Ivan Zelinka, 2012 .

Designing PID Controllers by Means of PSO Algorithm Enhanced by Various Chaotic Maps

Michal Pluhacek, Roman Senkerik, Ivan Zelinka, 2013, 2013 8th EUROSIM Congress on Modelling and Simulation.

Analytic Programming—A New Tool for Synthesis of Controller for Discrete Chaotic Lozi Map

Michal Pluhacek, Roman Senkerik, Ivan Zelinka, 2014 .

Control Law and Pseudo Neural Networks Synthesized by Evolutionary Symbolic Regression Technique

Roman Senkerik, Zuzana Kominkova Oplatkova, Z. Oplatková, 2016 .

Investigation on realtime deterministic chaos control by means of evolutionary algorithms

Roman Senkerik, Ivan Zelinka, Eduard Navratil, 2006 .

Cost function design for evolutionary optimization of deterministic chaos control

Roman Senkerik, Ivan Zelinka, Eduard Navratil, 2007, 2007 European Control Conference (ECC).

Investigation on evolutionary optimization of chaos control

Roman Senkerik, Ivan Zelinka, Eduard Navratil, 2009 .

Evolutionary optimisation of Hénon map control: a black box approach

Roman Senkerik, Ivan Zelinka, Zuzana Kominkova Oplatkova, 2012 .

Chaos Powered Symbolic Regression in Be Stars Spectra Modeling

Michal Pluhacek, Roman Senkerik, Lenka Skanderova, 2014 .

Inspired in SOMA: Perturbation Vector Embedded into the Chaotic PSO Algorithm Driven by Lozi Chaotic Map

Michal Pluhacek, Roman Senkerik, Ivan Zelinka, 2016 .