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2020 – today
- 2024
[c82]Adam Viktorin
, Michal Pluhacek, Tomas Kadavy, Jozef Kovác, Peter Janku, Roman Senkerik:
DISH Solving the GNBG-generated Test Suite. GECCO Companion 2024: 19-20- [c81]Michal Pluhacek, Adam Viktorin, Tomas Kadavy, Jozef Kovác, Roman Senkerik:
Measuring Population Diversity in Variable Dimension Search Spaces. GECCO Companion 2024: 1511-1519 - [c80]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: 1855-1862 - [c79]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: 2018-2022 - 2023
- [j8]Dominik Mair, Michael Renzler, Stanislav Kovar, Tomás Martínek, Tomas Kadavy, Simon Bergmueller, Andrada Horn, Jakob Braun, Lukas Kaserer:
Evolutionary Optimized 3D WiFi Antennas Manufactured via Laser Powder Bed Fusion. IEEE Access 11: 121914-121923 (2023) - [c78]Tomas Kadavy, Adam Viktorin, Anezka Kazikova, Michal Pluhacek, Roman Senkerik:
Impact of Boundary Control Methods on Bound-constrained Optimization Benchmarking. GECCO Companion 2023: 25-26 - [c77]Marcela Matusikova, Michal Pluhacek, Tomas Kadavy, Adam Viktorin, Roman Senkerik:
Exploring Adaptive Components of SOMA. GECCO Companion 2023: 1803-1811 - [c76]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: 1812-1820 - [c75]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: 1821-1829 - [c74]Tomas Kadavy, Michal Pluhacek, Adam Viktorin, Roman Senkerik:
Exploring the Frequency of Boundary Control Methods Activation in Metaheuristic Algorithms. GECCO Companion 2023: 2330-2336 - [c73]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: 1070-1075 - [c72]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: 1084-1089 - 2022
- [j7]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): 1271-1280 (2022) - [c71]Tomas Kadavy, Michal Pluhacek, Adam Viktorin, Anezka Kazikova, Roman Senkerik:
Exploring clustering in SOMA. COMPENG 2022: 1-5 - [c70]Michal Pluhacek, Tomas Kadavy, Anezka Kazikova, Adam Viktorin, Roman Senkerik:
Inner Dynamics of Particle Swarm Optimization Interpreted by Complex Network Analysis. COMPENG 2022: 1-5 - 2021
- [j6]Tomas Kadavy, Roman Senkerik, Michal Pluhacek, Adam Viktorin:
Orthogonal Learning Firefly Algorithm. Log. J. IGPL 29(2): 167-179 (2021) - [c69]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: 11-12 - [c68]Tomas Kadavy, Michal Pluhacek, Adam Viktorin, Roman Senkerik:
Self-organizing migrating algorithm with clustering-aided migration and adaptive perturbation vector control. GECCO Companion 2021: 1916-1922 - [c67]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: 1944-1952 - [c66]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: 1-8 - [c65]Michal Pluhacek, Adam Viktorin, Tomas Kadavy, Anezka Kazikova:
On the common population diversity measures in metaheuristics and their limitations. SSCI 2021: 1-7 - [c64]Adam Ulrich, Adam Viktorin, Michal Pluhacek, Tomas Kadavy, Jan Krnávek:
Novelty Search in Particle Swarm Optimization. SSCI 2021: 1-8 - 2020
- [j5]Adam Viktorin, Roman Senkerik, Michal Pluhacek, Tomas Kadavy:
Analysing knowledge transfer in SHADE via complex network. Log. J. IGPL 28(2): 153-170 (2020) - [j4]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): 211-225 (2020) - [j3]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): 603-616 (2020) - [c63]Adam Viktorin, Roman Senkerik, Michal Pluhacek, Tomas Kadavy, Ales Zamuda:
DISH-XX Solving CEC2020 Single Objective Bound Constrained Numerical optimization Benchmark. CEC 2020: 1-8 - [c62]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: 9-10 - [c61]Tomas Kadavy, Michal Pluhacek, Adam Viktorin, Roman Senkerik:
Self-organizing migrating algorithm with clustering-aided migration. GECCO Companion 2020: 1441-1447 - [c60]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: 1468-1475 - [c59]Roman Senkerik, Adam Viktorin, Tomas Kadavy, Michal Pluhacek, Ivan Zelinka:
Is Chaotic Randomization Advantageous for Higher Dimensional Optimization Problems? ICAISC (2) 2020: 423-434
2010 – 2019
- 2019
- [j2]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) - [c58]Adam Viktorin, Roman Senkerik, Michal Pluhacek, Tomas Kadavy, Ales Zamuda:
DISH Algorithm Solving the CEC 2019 100-Digit Challenge. CEC 2019: 1-6 - [c57]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: 372-375 - [c56]Roman Senkerik, Tomas Kadavy, Adam Viktorin, Michal Pluhacek:
Ensemble of Strategies and Perturbation Parameter Based SOMA for Constrained Technological Design Optimization Problem. CEC 2019: 2872-2877 - [c55]Tomas Kadavy, Michal Pluhacek, Roman Senkerik, Adam Viktorin:
Introducing Self-Adaptive Parameters to Self-organizing Migrating Algorithm. CEC 2019: 2908-2914 - [c54]Tomas Kadavy, Stanislav Kovar, Michal Pluhacek, Adam Viktorin, Roman Senkerik:
Evolutionary Algorithms Applied to a Shielding Enclosure Design. ICAISC (1) 2019: 445-455 - [c53]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: 506-518 - [c52]Adam Viktorin, Roman Senkerik, Michal Pluhacek, Tomas Kadavy:
Analyzing Control Parameters in DISH. ICAISC (1) 2019: 519-529 - [c51]Michal Pluhacek, Roman Senkerik, Adam Viktorin, Tomas Kadavy:
Self-organizing Migrating Algorithm with Non-binary Perturbation. SEMCCO/FANCCO 2019: 43-57 - [c50]Tomas Kadavy, Michal Pluhacek, Roman Senkerik, Adam Viktorin:
Boundary Strategies for Self-organizing Migrating Algorithm Analyzed Using CEC'17 Benchmark. SEMCCO/FANCCO 2019: 58-69 - [c49]Roman Senkerik, Adam Viktorin, Tomas Kadavy, Michal Pluhacek, Ivan Zelinka:
Insight into Adaptive Differential Evolution Variants with Unconventional Randomization Schemes. SEMCCO/FANCCO 2019: 177-188 - [p1]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, Ales Zamuda, Marco S. Nobile:
Towards Human Cell Simulation. High-Performance Modelling and Simulation for Big Data Applications 2019: 221-249 - 2018
- [j1]Adam Viktorin, Roman Senkerik, Michal Pluhacek, Tomas Kadavy:
Modified progressive random walk with chaotic PRNG. Int. J. Parallel Emergent Distributed Syst. 33(5): 450-459 (2018) - [c48]Tomas Kadavy, Michal Pluhacek, Adam Viktorin, Roman Senkerik:
Comparing Boundary Control Methods for Firefly Algorithm. BIOMA 2018: 163-173 - [c47]Roman Senkerik, Adam Viktorin, Michal Pluhacek, Tomas Kadavy:
Population Diversity Analysis for the Chaotic Based Selection of Individuals in Differential Evolution. BIOMA 2018: 283-294 - [c46]Adam Viktorin, Roman Senkerik, Michal Pluhacek, Tomas Kadavy:
How Distance Based Parameter Adaptation Affects Population Diversity. BIOMA 2018: 307-319 - [c45]Michal Pluhacek, Roman Senkerik, Adam Viktorin, Tomas Kadavy, Ivan Zelinka:
Chaos Driven PSO with Attractive Search Space Border Points. CEC 2018: 1-6 - [c44]Roman Senkerik, Adam Viktorin, Michal Pluhacek, Tomas Kadavy:
On the Population Diversity for the Chaotic Differential Evolution. CEC 2018: 1-8 - [c43]Adam Viktorin, Roman Senkerik, Michal Pluhacek, Tomas Kadavy:
Cluster Occurrence in the DbL_SHADE Population. CEC 2018: 1-8 - [c42]Adam Viktorin, Roman Senkerik, Michal Pluhacek, Tomas Kadavy:
Distance vs. Improvement Based Parameter Adaptation in SHADE. CSOS (2) 2018: 455-464 - [c41]Tomas Kadavy, Michal Pluhacek, Adam Viktorin, Roman Senkerik:
Firefly Algorithm Enhanced by Orthogonal Learning. CSOS (2) 2018: 477-488 - [c40]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: 489-498 - [c39]Michal Pluhacek, Roman Senkerik, Adam Viktorin, Tomas Kadavy:
Study On Velocity Clamping In PSO Using CEC'13 Benchmark. ECMS 2018: 150-155 - [c38]Adam Viktorin, Roman Senkerik, Michal Pluhacek, Tomas Kadavy:
Comparative Study Of The Distance/Improvement Based SHADE. ECMS 2018: 163-169 - [c37]Tomas Kadavy, Michal Pluhacek, Adam Viktorin, Roman Senkerik:
Boundary Strategies For Firefly Algorithm Analysed Using CEC'17 Benchmark. ECMS 2018: 170-175 - [c36]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: 176-182 - [c35]Lubos Spacek, Jiri Vojtesek, Frantisek Gazdos, Tomas Kadavy:
Ball & Plate Model For Robotic System. ECMS 2018: 226-231 - [c34]Tomas Kadavy, Michal Pluhacek, Adam Viktorin, Roman Senkerik:
Orthogonal Learning Firefly Algorithm. HAIS 2018: 315-326 - [c33]Tomas Kadavy, Michal Pluhacek, Adam Viktorin, Roman Senkerik:
Multi-swarm Optimization Algorithm Based on Firefly and Particle Swarm Optimization Techniques. ICAISC (1) 2018: 405-416 - [c32]Michal Pluhacek, Roman Senkerik, Adam Viktorin, Tomas Kadavy:
Particle Swarm Optimization with Single Particle Repulsivity for Multi-modal Optimization. ICAISC (1) 2018: 486-494 - [c31]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: 524-535 - [c30]Adam Viktorin, Roman Senkerik, Michal Pluhacek, Tomas Kadavy:
On the Prolonged Exploration of Distance Based Parameter Adaptation in SHADE. ICAISC (1) 2018: 561-571 - [c29]Roman Senkerik, Adam Viktorin, Michal Pluhacek, Tomas Kadavy, Zuzana Komínková Oplatková:
Differential Evolution and Chaotic Series. IWSSIP 2018: 1-5 - [c28]Adam Viktorin, Roman Senkerik, Michal Pluhacek, Tomas Kadavy:
Addressing Premature Convergence with Distance based Parameter Adaptation in SHADE. IWSSIP 2018: 1-5 - [c27]Tomas Kadavy, Michal Pluhacek, Roman Senkerik, Adam Viktorin:
On the Performance Significance of Boundary Strategies for Firefly Algorithm. SSCI 2018: 765-769 - [c26]Michal Pluhacek, Roman Senkerik, Adam Viktorin, Tomas Kadavy:
Why Simple Population Restart Does Not Work in PSO. SSCI 2018: 770-776 - 2017
- [c25]Adam Viktorin, Roman Senkerik, Michal Pluhacek, Tomas Kadavy:
Towards Better Population Sizing for Differential Evolution Through Active Population Analysis with Complex Network. CISIS 2017: 225-235 - [c24]Adam Viktorin, Roman Senkerik, Michal Pluhacek, Tomas Kadavy:
SHADE Algorithm Dynamic Analyzed Through Complex Network. COCOON 2017: 666-677 - [c23]Adam Viktorin, Roman Senkerik, Michal Pluhacek, Tomas Kadavy:
The Influence of Archive Size to SHADE. CSOC (1) 2017: 517-527 - [c22]Tomas Kadavy, Michal Pluhacek, Adam Viktorin, Roman Senkerik:
Comparing Border Strategies for Roaming Particles on Single and Multi-swarm PSO. CSOC (1) 2017: 528-536 - [c21]Roman Senkerik, Michal Pluhacek, Adam Viktorin, Tomas Kadavy:
On the Randomization of Indices Selection for Differential Evolution. CSOC (1) 2017: 537-547 - [c20]Adam Viktorin, Roman Senkerik, Michal Pluhacek, Tomas Kadavy:
SHADE Mutation Strategy Analysis Via Dynamic Simulation In Complex Network. ECMS 2017: 299-305 - [c19]Michal Pluhacek, Roman Senkerik, Adam Viktorin, Tomas Kadavy:
Uncovering Communication Density In PSO Using Complex Network. ECMS 2017: 306-312 - [c18]Tomas Kadavy, Michal Pluhacek, Adam Viktorin, Roman Senkerik:
Firework Algorithm Dynamics Simulated And Analyzed With The Aid Of Complex Network. ECMS 2017: 313-318 - [c17]Roman Senkerik, Michal Pluhacek, Adam Viktorin, Zuzana Komínková Oplatková, Tomas Kadavy:
Simulation Of Chaotic Dynamics For Chaos Based Optimization - An Extended Study. ECMS 2017: 319-325 - [c16]Tomas Kadavy, Michal Pluhacek, Adam Viktorin, Roman Senkerik:
Hypersphere Universe Boundary Method Comparison on HCLPSO and PSO. HAIS 2017: 173-182 - [c15]Michal Pluhacek, Adam Viktorin, Roman Senkerik, Tomas Kadavy, Ivan Zelinka:
PSO with Partial Population Restart Based on Complex Network Analysis. HAIS 2017: 183-192 - [c14]Adam Viktorin, Michal Pluhacek, Roman Senkerik, Tomas Kadavy:
Detecting Potential Design Weaknesses in SHADE Through Network Feature Analysis. HAIS 2017: 662-673 - [c13]Roman Senkerik, Adam Viktorin, Michal Pluhacek, Tomas Kadavy, Ivan Zelinka:
Hybridization of Analytic Programming and Differential Evolution for Time Series Prediction. HAIS 2017: 686-698 - [c12]Tomas Kadavy, Michal Pluhacek, Adam Viktorin, Roman Senkerik:
Comparing Strategies for Search Space Boundaries Violation in PSO. ICAISC (2) 2017: 655-664 - [c11]Michal Pluhacek, Roman Senkerik, Adam Viktorin, Tomas Kadavy:
PSO with Attractive Search Space Border Points. ICAISC (2) 2017: 665-675 - [c10]Roman Senkerik, Adam Viktorin, Michal Pluhacek, Tomas Kadavy, Ivan Zelinka:
Differential Evolution Driven Analytic Programming for Prediction. ICAISC (2) 2017: 676-687 - [c9]Adam Viktorin, Roman Senkerik, Michal Pluhacek, Tomas Kadavy:
Archive Analysis in SHADE. ICAISC (2) 2017: 688-699 - [c8]Adam Viktorin, Roman Senkerik, Michal Pluhacek, Tomas Kadavy:
Enhanced Archive for SHADE. MENDEL 2017: 40-55 - [c7]Roman Senkerik, Michal Pluhacek, Adam Viktorin, Tomas Kadavy, Zuzana Komínková Oplatková:
Randomization of Individuals Selection in Differential Evolution. MENDEL 2017: 180-191 - [c6]Tomas Kadavy, Michal Pluhacek, Adam Viktorin, Roman Senkerik:
Partial population restart of firefly algorithm using complex network analysis. SSCI 2017: 1-7 - [c5]Michal Pluhacek, Roman Senkerik, Adam Viktorin, Tomas Kadavy:
Exploring the shortest path in PSO communication network. SSCI 2017: 1-6 - [c4]Michal Pluhacek, Roman Senkerik, Adam Viktorin, Tomas Kadavy:
How chaotic sequences and generator sequencing affect the particle trajectory in PSO. SSCI 2017: 1-8 - [c3]Roman Senkerik, Adam Viktorin, Michal Pluhacek, Tomas Kadavy, Zuzana Komínková Oplatková:
Performance comparison of differential evolution driving analytic programming for regression. SSCI 2017: 1-8 - [c2]Adam Viktorin, Roman Senkerik, Michal Pluhacek, Tomas Kadavy, Ales Zamuda:
Distance based parameter adaptation for differential evolution. SSCI 2017: 1-7 - 2016
- [c1]Michal Pluhacek, Tomas Kadavy, Roman Senkerik, Adam Viktorin, Ivan Zelinka:
Comparing selected PSO modifications on CEC 15 benchmark set. SSCI 2016: 1-6
Coauthor Index
[c82] [c81] [c80] [c79] [c78] [c77] [c76] [c75] [c74] [c73] [c72] [j7] [c71] [c70] [j6] [c69] [c68] [c67] [c66] [c65] [c64] [j5] [j4] [j3] [c63] [c62] [c61] [c60] [c59] [j2] [c58] [c57] [c56] [c55] [c54] [c53] [c52] [c51] [c50] [c49] [j1] [c48] [c47] [c46] [c45] [c44] [c43] [c42] [c41] [c40] [c39] [c38] [c37] [c36] [c34] [c33] [c32] [c31] [c30] [c29] [c28] [c27] [c26] [c25] [c24] [c23] [c22] [c21] [c20] [c19] [c18] [c17] [c16] [c15] [c14] [c13] [c12] [c11] [c10] [c9] [c8] [c7] [c6] [c5] [c4] [c3] [c2] [c1]
[c82] [c81] [c80] [c79] [c78] [c77] [c76] [c75] [c74] [c73] [c72] [j7] [c71] [c70] [j6] [c69] [c68] [c67] [j5] [j4] [j3] [c63] [c62] [c61] [c60] [c59] [j2] [c58] [c57] [c56] [c55] [c54] [c53] [c52] [c51] [c50] [c49] [p1] [j1] [c48] [c47] [c46] [c45] [c44] [c43] [c42] [c41] [c40] [c39] [c38] [c37] [c36] [c34] [c33] [c32] [c31] [c30] [c29] [c28] [c27] [c26] [c25] [c24] [c23] [c22] [c21] [c20] [c19] [c18] [c17] [c16] [c15] [c14] [c13] [c12] [c11] [c10] [c9] [c8] [c7] [c6] [c5] [c4] [c3] [c2] [c1]
[c82] [c81] [c80] [c79] [c78] [c77] [c76] [c75] [c74] [c73] [c72] [j7] [c71] [c70] [j6] [c69] [c68] [c67] [c66] [c65] [c64] [j5] [j4] [j3] [c63] [c62] [c61] [c60] [c59] [j2] [c58] [c57] [c56] [c55] [c54] [c53] [c52] [c51] [c50] [c49] [p1] [j1] [c48] [c47] [c46] [c45] [c44] [c43] [c42] [c41] [c40] [c39] [c38] [c37] [c36] [c34] [c33] [c32] [c31] [c30] [c29] [c28] [c27] [c26] [c25] [c24] [c23] [c22] [c21] [c20] [c19] [c18] [c17] [c16] [c15] [c14] [c13] [c12] [c11] [c10] [c9] [c8] [c7] [c6] [c5] [c4] [c3] [c2] [c1]
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