Adam Viktorin

ORCID

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 115

Top Venues

Publications

Michal Pluhacek, Adam Viktorin, Tomas Kadavy, Jozef Kovác, Roman Senkerik
Measuring Population Diversity in Variable Dimension Search Spaces. GECCO Companion (2024)
Michal Pluhacek, Jozef Kovác, Adam Viktorin, Peter Janku, Tomas Kadavy, Roman Senkerik
Using LLM for Automatic Evolvement of Metaheuristics from Swarm Algorithm SOMA. GECCO Companion (2024)
Michal Pluhacek, Jozef Kovác, Peter Janku, Tomas Kadavy, Roman Senkerik, Adam Viktorin
A Critical Examination of Large Language Model Capabilities in Iteratively Refining Differential Evolution Algorithm. GECCO Companion (2024)
Adam Viktorin, Michal Pluhacek, Tomas Kadavy, Jozef Kovác, Peter Janku, Roman Senkerik
DISH Solving the GNBG-generated Test Suite. GECCO Companion (2024)
Adam Viktorin, Dusan Hrabec, Vlastimír Nevrlý, Radovan Somplák, Roman Senkerik
Hierarchical clustering-based algorithms for optimal waste collection point locations in large-scale problems: A framework development and case study. Comput. Ind. Eng. 178 (2023)
Roman Senkerik, Aleksander Byrski, Hubert Guzowski, Peter Janku, Tomas Kadavy, Zuzana Komínková Oplatková, Radek Matusu, Michal Pluhacek, Libor Pekar, Maciej Smolka, Adam Viktorin
Efficient Time-Delay System Optimization with Auto-Configured Metaheuristics. SMC (2023)
Michal Pluhacek, Anezka Kazikova, Adam Viktorin, Tomas Kadavy, Roman Senkerik
Investigating the Potential of AI-Driven Innovations for Enhancing Differential Evolution in Optimization Tasks. SMC (2023)
Tomas Kadavy, Adam Viktorin, Anezka Kazikova, Michal Pluhacek, Roman Senkerik
Impact of Boundary Control Methods on Bound-constrained Optimization Benchmarking. GECCO Companion (2023)
Michal Pluhacek, Anezka Kazikova, Tomas Kadavy, Adam Viktorin, Roman Senkerik
Leveraging Large Language Models for the Generation of Novel Metaheuristic Optimization Algorithms. GECCO Companion (2023)
Tomas Kadavy, Michal Pluhacek, Adam Viktorin, Roman Senkerik
Exploring the Frequency of Boundary Control Methods Activation in Metaheuristic Algorithms. GECCO Companion (2023)
Roman Senkerik, Tomas Kadavy, Peter Janku, Michal Pluhacek, Hubert Guzowski, Libor Pekar, Radek Matusu, Adam Viktorin, Maciej Smolka, Aleksander Byrski, Zuzana Komínková Oplatková
Maximizing Efficiency: A Comparative Study of SOMA Algorithm Variants and Constraint Handling Methods for Time Delay System Optimization. GECCO Companion (2023)
Marcela Matusikova, Michal Pluhacek, Tomas Kadavy, Adam Viktorin, Roman Senkerik
Exploring Adaptive Components of SOMA. GECCO Companion (2023)
Tomas Kadavy, Michal Pluhacek, Adam Viktorin, Anezka Kazikova, Roman Senkerik
Exploring clustering in SOMA. COMPENG (2022)
Tomas Kadavy, Adam Viktorin, Anezka Kazikova, Michal Pluhacek, Roman Senkerik
Impact of Boundary Control Methods on Bound-Constrained Optimization Benchmarking. IEEE Trans. Evol. Comput. 26 (6) (2022)
Arka Ghosh, Swagatam Das, Asit Kumar Das, Roman Senkerik, Adam Viktorin, Ivan Zelinka, Antonio David Masegosa
Using spatial neighborhoods for parameter adaptation: An improved success history based differential evolution. Swarm Evol. Comput. 71 (2022)
Michal Pluhacek, Tomas Kadavy, Anezka Kazikova, Adam Viktorin, Roman Senkerik
Inner Dynamics of Particle Swarm Optimization Interpreted by Complex Network Analysis. COMPENG (2022)
Adam Ulrich, Adam Viktorin, Michal Pluhacek, Tomas Kadavy, Jan Krnavek
Novelty Search in Particle Swarm Optimization. SSCI (2021)
Tomas Kadavy, Michal Pluhacek, Adam Viktorin, Roman Senkerik
Self-organizing migrating algorithm with clustering-aided migration and adaptive perturbation vector control. GECCO Companion (2021)
Michal Pluhacek, Anezka Kazikova, Tomas Kadavy, Adam Viktorin, Roman Senkerik
Explaining SOMA: the relation of stochastic perturbation to population diversity and parameter space coverage. GECCO Companion (2021)
Michal Pluhacek, Adam Viktorin, Tomas Kadavy, Anezka Kazikova
On the common population diversity measures in metaheuristics and their limitations. SSCI (2021)
Tomas Kadavy, Adam Viktorin, Michal Pluhacek, Stanislav Kovar
On Modifications Towards Improvement of the Exploitation Phase for SOMA Algorithm with Clustering-aided Migration and Adaptive Perturbation Vector Control. SSCI (2021)
Tomas Kadavy, Roman Senkerik, Michal Pluhacek, Adam Viktorin
Orthogonal Learning Firefly Algorithm. Log. J. IGPL 29 (2) (2021)
Tomas Kadavy, Michal Pluhacek, Adam Viktorin, Roman Senkerik
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. GECCO Companion (2021)
Michal Pluhacek, Roman Senkerik, Adam Viktorin, Tomas Kadavy
Chaos-enhanced multiple-choice strategy for particle swarm optimisation. Int. J. Parallel Emergent Distributed Syst. 35 (6) (2020)
Tomas Kadavy, Michal Pluhacek, Adam Viktorin, Roman Senkerik
Self-organizing migrating algorithm with clustering-aided migration. GECCO Companion (2020)
Adam Viktorin, Roman Senkerik, Michal Pluhacek, Tomas Kadavy, Ales Zamuda
DISH-XX Solving CEC2020 Single Objective Bound Constrained Numerical optimization Benchmark. CEC (2020)
Roman Senkerik, Adam Viktorin, Tomas Kadavy, Michal Pluhacek, Ivan Zelinka
Is Chaotic Randomization Advantageous for Higher Dimensional Optimization Problems? ICAISC (2) (2020)
Michal Pluhacek, Adam Viktorin, Roman Senkerik, Tomas Kadavy, Ivan Zelinka
Extended experimental study on PSO with partial population restart based on complex network analysis. Log. J. IGPL 28 (2) (2020)
Tomas Kadavy, Michal Pluhacek, Adam Viktorin, Roman Senkerik
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. GECCO Companion (2020)
Roman Senkerik, Tomas Kadavy, Adam Viktorin, Michal Pluhacek
Ensemble of strategies and perturbation parameter based SOMA for optimal stabilization of chaotic oscillations. GECCO Companion (2020)
Adam Viktorin, Roman Senkerik, Michal Pluhacek, Tomas Kadavy
Analysing knowledge transfer in SHADE via complex network. Log. J. IGPL 28 (2) (2020)
Roman Senkerik, Adam Viktorin, Tomas Kadavy, Michal Pluhacek, Anezka Kazikova, Quoc Bao Diep, Ivan Zelinka
Population Diversity Analysis in Adaptive Differential Evolution Variants with Unconventional Randomization Schemes. ICAISC (1) (2019)
Michal Pluhacek, Roman Senkerik, Adam Viktorin, Tomas Kadavy
Self-organizing Migrating Algorithm with Non-binary Perturbation. SEMCCO/FANCCO (2019)
Roman Senkerik, Tomas Kadavy, Adam Viktorin, Michal Pluhacek
Ensemble of Strategies and Perturbation Parameter Based SOMA for Constrained Technological Design Optimization Problem. CEC (2019)
Adam Viktorin, Roman Senkerik, Michal Pluhacek, Tomas Kadavy, Ales Zamuda
DISH Algorithm Solving the CEC 2019 100-Digit Challenge. CEC (2019)
Tomas Kadavy, Michal Pluhacek, Roman Senkerik, Adam Viktorin
Boundary Strategies for Self-organizing Migrating Algorithm Analyzed Using CEC'17 Benchmark. SEMCCO/FANCCO (2019)
Adam Viktorin, Roman Senkerik, Michal Pluhacek, Tomas Kadavy
Analyzing Control Parameters in DISH. ICAISC (1) (2019)
Tomas Kadavy, Stanislav Kovar, Michal Pluhacek, Adam Viktorin, Roman Senkerik
Evolutionary Algorithms Applied to a Shielding Enclosure Design. ICAISC (1) (2019)
Adam Viktorin, Roman Senkerik, Michal Pluhacek, Tomas Kadavy, Ales Zamuda
Distance based parameter adaptation for Success-History based Differential Evolution. Swarm Evol. Comput. 50 (2019)
Roman Senkerik, Adam Viktorin, Tomas Kadavy, Michal Pluhacek, Ivan Zelinka
Insight into Adaptive Differential Evolution Variants with Unconventional Randomization Schemes. SEMCCO/FANCCO (2019)
Tomas Kadavy, Michal Pluhacek, Roman Senkerik, Adam Viktorin
Introducing Self-Adaptive Parameters to Self-organizing Migrating Algorithm. CEC (2019)
Tomas Kadavy, Michal Pluhacek, Roman Senkerik, Adam Viktorin
The Ensemble of Strategies and Perturbation Parameter in Self-organizing Migrating Algorithm Solving CEC 2019 100-Digit Challenge. CEC (2019)
Michal Pluhacek, Roman Senkerik, Adam Viktorin, Tomas Kadavy
Study On Velocity Clamping In PSO Using CEC'13 Benchmark. ECMS (2018)
Roman Senkerik, Michal Pluhacek, Adam Viktorin, Tomas Kadavy, Jakub Janostik, Zuzana Komínková Oplatková
A Review On The Simulation of Social Networks Inside Heuristic Algorithms. ECMS (2018)
Tomas Kadavy, Michal Pluhacek, Adam Viktorin, Roman Senkerik
Comparing Boundary Control Methods for Firefly Algorithm. BIOMA (2018)
Adam Viktorin, Roman Senkerik, Michal Pluhacek, Tomas Kadavy
How Distance Based Parameter Adaptation Affects Population Diversity. BIOMA (2018)
Roman Senkerik, Adam Viktorin, Michal Pluhacek, Tomas Kadavy, Ivan Zelinka
How Unconventional Chaotic Pseudo-Random Generators Influence Population Diversity in Differential Evolution. ICAISC (1) (2018)
Michal Pluhacek, Roman Senkerik, Adam Viktorin, Tomas Kadavy, Ivan Zelinka
Chaos Driven PSO with Attractive Search Space Border Points. CEC (2018)
Roman Senkerik, Adam Viktorin, Michal Pluhacek, Tomas Kadavy, Zuzana Komínková Oplatková
Differential Evolution and Chaotic Series. IWSSIP (2018)
Roman Senkerik, Adam Viktorin, Michal Pluhacek, Tomas Kadavy, Zuzana Komínková Oplatková
On the Applicability of Random and the Best Solution Driven Metaheuristics for Analytic Programming and Time Series Regression. CSOS (2) (2018)
Roman Senkerik, Adam Viktorin, Michal Pluhacek, Tomas Kadavy
On the Population Diversity for the Chaotic Differential Evolution. CEC (2018)
Adam Viktorin, Roman Senkerik, Michal Pluhacek, Tomas Kadavy
Comparative Study Of The Distance/Improvement Based SHADE. ECMS (2018)
Adam Viktorin, Roman Senkerik, Michal Pluhacek, Tomas Kadavy
Addressing Premature Convergence with Distance based Parameter Adaptation in SHADE. IWSSIP (2018)
Roman Senkerik, Adam Viktorin, Michal Pluhacek, Tomas Kadavy
Population Diversity Analysis for the Chaotic Based Selection of Individuals in Differential Evolution. BIOMA (2018)
Michal Pluhacek, Roman Senkerik, Adam Viktorin, Tomas Kadavy
Why Simple Population Restart Does Not Work in PSO. SSCI (2018)
Anezka Kazikova, Michal Pluhacek, Adam Viktorin, Roman Senkerik
New Running Technique for the Bison Algorithm. ICAISC (1) (2018)
Zuzana Komínková Oplatková, Roman Senkerik, Adam Viktorin
Differential Evolution and Analytic Programming in the case of Trigonometric Identities Discovery. IWSSIP (2018)
Tomas Kadavy, Michal Pluhacek, Roman Senkerik, Adam Viktorin
On the Performance Significance of Boundary Strategies for Firefly Algorithm. SSCI (2018)
Adam Viktorin, Roman Senkerik, Michal Pluhacek, Tomas Kadavy
Cluster Occurrence in the DbL_SHADE Population. CEC (2018)
Tomas Kadavy, Michal Pluhacek, Adam Viktorin, Roman Senkerik
Boundary Strategies For Firefly Algorithm Analysed Using CEC'17 Benchmark. ECMS (2018)
Zuzana Komínková Oplatková, Adam Viktorin, Roman Senkerik
Pseudo Neural Networks Via Analytic Programming With Direct Coding Of Constant Estimation. ECMS (2018)
Tomas Kadavy, Michal Pluhacek, Adam Viktorin, Roman Senkerik
Multi-swarm Optimization Algorithm Based on Firefly and Particle Swarm Optimization Techniques. ICAISC (1) (2018)
Michal Pluhacek, Roman Senkerik, Adam Viktorin, Tomas Kadavy
Particle Swarm Optimization with Single Particle Repulsivity for Multi-modal Optimization. ICAISC (1) (2018)
Adam Viktorin, Roman Senkerik, Michal Pluhacek, Tomas Kadavy
Distance vs. Improvement Based Parameter Adaptation in SHADE. CSOS (2) (2018)
Tomas Kadavy, Michal Pluhacek, Adam Viktorin, Roman Senkerik
Orthogonal Learning Firefly Algorithm. HAIS (2018)
Adam Viktorin, Roman Senkerik, Michal Pluhacek, Tomas Kadavy
On the Prolonged Exploration of Distance Based Parameter Adaptation in SHADE. ICAISC (1) (2018)
Adam Viktorin, Roman Senkerik, Michal Pluhacek, Tomas Kadavy
Modified progressive random walk with chaotic PRNG. Int. J. Parallel Emergent Distributed Syst. 33 (5) (2018)
Tomas Kadavy, Michal Pluhacek, Adam Viktorin, Roman Senkerik
Firefly Algorithm Enhanced by Orthogonal Learning. CSOS (2) (2018)
Roman Senkerik, Adam Viktorin, Michal Pluhacek, Tomas Kadavy, Ivan Zelinka
Differential Evolution Driven Analytic Programming for Prediction. ICAISC (2) (2017)
Tomas Kadavy, Michal Pluhacek, Adam Viktorin, Roman Senkerik
Partial population restart of firefly algorithm using complex network analysis. SSCI (2017)
Tomas Kadavy, Michal Pluhacek, Adam Viktorin, Roman Senkerik
Hypersphere Universe Boundary Method Comparison on HCLPSO and PSO. HAIS (2017)
Zuzana Komínková Oplatková, Adam Viktorin, Roman Senkerik
Comparison of Three Novelty Approaches to Constants (Ks) Handling in Analytic Programming Powered by SHADE. MENDEL (2017)
Tomas Kadavy, Michal Pluhacek, Adam Viktorin, Roman Senkerik
Comparing Strategies for Search Space Boundaries Violation in PSO. ICAISC (2) (2017)
Zuzana Komínková Oplatková, Adam Viktorin, Roman Senkerik, Tomás Urbánek
Different Approaches For Constant Estimation In Analytic Programming. ECMS (2017)
Adam Viktorin, Roman Senkerik, Michal Pluhacek, Tomas Kadavy
The Influence of Archive Size to SHADE. CSOC (1) (2017)
Tomas Kadavy, Michal Pluhacek, Adam Viktorin, Roman Senkerik
Firework Algorithm Dynamics Simulated And Analyzed With The Aid Of Complex Network. ECMS (2017)
Roman Senkerik, Adam Viktorin, Michal Pluhacek, Tomas Kadavy, Zuzana Komínková Oplatková
Performance comparison of differential evolution driving analytic programming for regression. SSCI (2017)
Michal Pluhacek, Adam Viktorin, Roman Senkerik, Tomas Kadavy, Ivan Zelinka
PSO with Partial Population Restart Based on Complex Network Analysis. HAIS (2017)
Michal Pluhacek, Roman Senkerik, Adam Viktorin, Tomas Kadavy
Uncovering Communication Density In PSO Using Complex Network. ECMS (2017)
Roman Senkerik, Michal Pluhacek, Adam Viktorin, Tomas Kadavy
On the Randomization of Indices Selection for Differential Evolution. CSOC (1) (2017)
Roman Senkerik, Adam Viktorin, Michal Pluhacek, Tomas Kadavy, Ivan Zelinka
Hybridization of Analytic Programming and Differential Evolution for Time Series Prediction. HAIS (2017)
Roman Senkerik, Michal Pluhacek, Adam Viktorin, Zuzana Komínková Oplatková, Tomas Kadavy
Simulation Of Chaotic Dynamics For Chaos Based Optimization - An Extended Study. ECMS (2017)
Roman Senkerik, Michal Pluhacek, Adam Viktorin, Tomas Kadavy, Zuzana Komínková Oplatková
Randomization of Individuals Selection in Differential Evolution. MENDEL (2017)
Adam Viktorin, Roman Senkerik, Michal Pluhacek, Tomas Kadavy, Ales Zamuda
Distance based parameter adaptation for differential evolution. SSCI (2017)
Adam Viktorin, Roman Senkerik, Michal Pluhacek, Tomas Kadavy
Towards Better Population Sizing for Differential Evolution Through Active Population Analysis with Complex Network. CISIS (2017)
Adam Viktorin, Roman Senkerik, Michal Pluhacek, Tomas Kadavy
Archive Analysis in SHADE. ICAISC (2) (2017)
Anezka Kazikova, Michal Pluhacek, Roman Senkerik, Adam Viktorin
Proposal of a New Swarm Optimization Method Inspired in Bison Behavior. MENDEL (2017)
Michal Pluhacek, Roman Senkerik, Adam Viktorin, Tomas Kadavy
How chaotic sequences and generator sequencing affect the particle trajectory in PSO. SSCI (2017)
Adam Viktorin, Roman Senkerik, Michal Pluhacek, Tomas Kadavy
SHADE Algorithm Dynamic Analyzed Through Complex Network. COCOON (2017)
Michal Pluhacek, Roman Senkerik, Adam Viktorin, Tomas Kadavy
PSO with Attractive Search Space Border Points. ICAISC (2) (2017)
Michal Pluhacek, Roman Senkerik, Adam Viktorin, Tomas Kadavy
Exploring the shortest path in PSO communication network. SSCI (2017)
Tomas Kadavy, Michal Pluhacek, Adam Viktorin, Roman Senkerik
Comparing Border Strategies for Roaming Particles on Single and Multi-swarm PSO. CSOC (1) (2017)
Adam Viktorin, Roman Senkerik, Michal Pluhacek, Tomas Kadavy
SHADE Mutation Strategy Analysis Via Dynamic Simulation In Complex Network. ECMS (2017)
Adam Viktorin, Michal Pluhacek, Roman Senkerik, Tomas Kadavy
Detecting Potential Design Weaknesses in SHADE Through Network Feature Analysis. HAIS (2017)
Adam Viktorin, Roman Senkerik, Michal Pluhacek, Tomas Kadavy
Enhanced Archive for SHADE. MENDEL (2017)
Roman Senkerik, Ivan Zelinka, Michal Pluhacek, Adam Viktorin
Study on the Development of Complex Network for Evolutionary and Swarm Based Algorithms. MICAI (2) (2016)
Roman Senkerik, Adam Viktorin, Michal Pluhacek, Jakub Janostik, Donald Davendra
On the influence of different randomization and complex network analysis for differential evolution. CEC (2016)
Adam Viktorin, Michal Pluhacek, Roman Senkerik
Multi-chaotic System Induced Success-History Based Adaptive Differential Evolution. ICAISC (1) (2016)
Michal Pluhacek, Tomas Kadavy, Roman Senkerik, Adam Viktorin, Ivan Zelinka
Comparing selected PSO modifications on CEC 15 benchmark set. SSCI (2016)
Michal Pluhacek, Roman Senkerik, Adam Viktorin, Ivan Zelinka
Creating Complex Networks Using Multi-swarm PSO. INCoS (2016)

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Publication Activity (10 Years)

Top Topics

Top Venues

Adam Viktorin