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ORCIDRoman Senkerik
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- affiliation: Tomas Bata University in Zlín, Czech Republic
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2020 – today
- 2024
[c209]Adam Viktorin
, Michal Pluhacek, Tomas Kadavy, Jozef Kovác, Peter Janku, Roman Senkerik:
DISH Solving the GNBG-generated Test Suite. GECCO Companion 2024: 19-20- [c208]Michal Pluhacek, Adam Viktorin, Tomas Kadavy, Jozef Kovác, Roman Senkerik:
Measuring Population Diversity in Variable Dimension Search Spaces. GECCO Companion 2024: 1511-1519 - [c207]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 - [c206]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
- [j37]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: 109142 (2023) - [c205]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 - [c204]Marcela Matusikova, Michal Pluhacek, Tomas Kadavy, Adam Viktorin, Roman Senkerik:
Exploring Adaptive Components of SOMA. GECCO Companion 2023: 1803-1811 - [c203]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 - [c202]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 - [c201]Tomas Kadavy, Michal Pluhacek, Adam Viktorin, Roman Senkerik:
Exploring the Frequency of Boundary Control Methods Activation in Metaheuristic Algorithms. GECCO Companion 2023: 2330-2336 - [c200]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 - [c199]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
- [j36]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: 101057 (2022) - [j35]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) - [c198]Tomas Kadavy, Michal Pluhacek, Adam Viktorin, Anezka Kazikova, Roman Senkerik:
Exploring clustering in SOMA. COMPENG 2022: 1-5 - [c197]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 - [c196]Tran Kim Toai, Roman Senkerik, Ivan Zelinka, Adam Ulrich, Vo Thi Xuan Hanh, Vo Minh Huan:
ARIMA for Short-Term and LSTM for Long-Term in Daily Bitcoin Price Prediction. ICAISC (1) 2022: 131-143 - [c195]Hubert Guzowski, Maciej Smolka, Aleksander Byrski, Libor Pekar, Zuzana Komínková Oplatková, Roman Senkerik, Radek Matusu, Frantisek Gazdos:
Effective Parametric Optimization of Heating-Cooling Process with Optimum near the Domain Border. IS 2022: 1-6 - [c194]Piotr Kipinski, Hubert Guzowski, Aleksandra Urbanczyk, Maciej Smolka, Marek Kisiel-Dorohinicki, Aleksander Byrski, Zuzana Komínková Oplatková, Roman Senkerik, Libor Pekar, Radek Matusu, Frantisek Gazdos:
Socio-cognitive Optimization of Time-delay Control Problems using Evolutionary Metaheuristics. IS 2022: 1-7 - [c193]Mateusz Nabywaniec, Hubert Guzowski, Aleksandra Urbanczyk, Maciej Smolka, Marek Kisiel-Dorohinicki, Aleksander Byrski, Zuzana Komínková Oplatková, Roman Senkerik, Libor Pekar, Radek Matusu, Frantisek Gazdos:
Socio-cognitive Optimization of Time-delay Control Problems using Agent-based Metaheuristics. IS 2022: 1-7 - [i1]Piotr Kipinski, Hubert Guzowski, Aleksandra Urbanczyk, Maciej Smolka, Marek Kisiel-Dorohinicki, Aleksander Byrski, Zuzana Komínková Oplatková, Roman Senkerik, Libor Pekar, Radek Matusu, Frantisek Gazdos:
Socio-cognitive Optimization of Time-delay Control Problems using Evolutionary Metaheuristics. CoRR abs/2210.12872 (2022) - 2021
- [j34]Anezka Kazikova, Michal Pluhacek, Roman Senkerik:
How Does the Number of Objective Function Evaluations Impact Our Understanding of Metaheuristics Behavior? IEEE Access 9: 44032-44048 (2021) - [j33]Iaroslav Iaremko, Roman Senkerik, Roman Jasek, Petr Lukastik:
An effective data reduction model for machine emergency state detection from big data tree topology structures. Int. J. Appl. Math. Comput. Sci. 31(4): 601-611 (2021) - [j32]Tomas Kadavy, Roman Senkerik, Michal Pluhacek, Adam Viktorin:
Orthogonal Learning Firefly Algorithm. Log. J. IGPL 29(2): 167-179 (2021) - [c192]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 - [c191]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 - [c190]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 - 2020
- [j31]Deepika Kumar, Nikita Jain, Aayush Khurana, Sweta Mittal, Suresh Chandra Satapathy, Roman Senkerik, D. Jude Hemanth:
Automatic Detection of White Blood Cancer From Bone Marrow Microscopic Images Using Convolutional Neural Networks. IEEE Access 8: 142521-142531 (2020) - [j30]Adam Viktorin, Roman Senkerik, Michal Pluhacek, Tomas Kadavy:
Analysing knowledge transfer in SHADE via complex network. Log. J. IGPL 28(2): 153-170 (2020) - [j29]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) - [j28]Marcin Korytkowski, Roman Senkerik, Magdalena M. Scherer, Rafal A. Angryk, Miroslaw Kordos, Agnieszka Siwocha:
Efficient Image Retrieval by Fuzzy Rules from Boosting and Metaheuristic. J. Artif. Intell. Soft Comput. Res. 10(1): 57-69 (2020) - [j27]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) - [c189]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 - [c188]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 - [c187]Ivan Zelinka, Roman Senkerik:
Swarm intelligence in cybersecurity. GECCO Companion 2020: 1313-1342 - [c186]Tomas Kadavy, Michal Pluhacek, Adam Viktorin, Roman Senkerik:
Self-organizing migrating algorithm with clustering-aided migration. GECCO Companion 2020: 1441-1447 - [c185]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 - [c184]Anezka Kazikova, Krystian Lapa, Michal Pluhacek, Roman Senkerik:
Cascade PID Controller Optimization Using Bison Algorithm. ICAISC (1) 2020: 406-416 - [c183]Roman Senkerik, Adam Viktorin, Tomas Kadavy, Michal Pluhacek, Ivan Zelinka:
Is Chaotic Randomization Advantageous for Higher Dimensional Optimization Problems? ICAISC (2) 2020: 423-434 - [c182]Thanh Cong Truong, Quoc Bao Diep, Ivan Zelinka, Roman Senkerik:
Supervised Classification Methods for Fake News Identification. ICAISC (2) 2020: 445-454
2010 – 2019
- 2019
- [j26]Lukas Kralik, Roman Jasek, Petr Zacek, Roman Senkerik:
Agile approach in multi-criterial decision making. Int. J. Manuf. Technol. Manag. 33(3/4): 256-267 (2019) - [j25]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) - [c181]Adam Viktorin, Roman Senkerik, Michal Pluhacek, Tomas Kadavy, Ales Zamuda:
DISH Algorithm Solving the CEC 2019 100-Digit Challenge. CEC 2019: 1-6 - [c180]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 - [c179]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 - [c178]Tomas Kadavy, Michal Pluhacek, Roman Senkerik, Adam Viktorin:
Introducing Self-Adaptive Parameters to Self-organizing Migrating Algorithm. CEC 2019: 2908-2914 - [c177]Anezka Kazikova, Zuzana Komínková Oplatková, Michal Pluhacek, Roman Senkerik:
Border Strategies Of The Bison Algorithm. ECMS 2019: 43-49 - [c176]Tomas Kadavy, Stanislav Kovar, Michal Pluhacek, Adam Viktorin, Roman Senkerik:
Evolutionary Algorithms Applied to a Shielding Enclosure Design. ICAISC (1) 2019: 445-455 - [c175]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 - [c174]Adam Viktorin, Roman Senkerik, Michal Pluhacek, Tomas Kadavy:
Analyzing Control Parameters in DISH. ICAISC (1) 2019: 519-529 - [c173]Quoc Bao Diep, Ivan Zelinka, Roman Senkerik:
An Algorithm for Swarm Robot to Avoid Multiple Dynamic Obstacles and to Catch the Moving Target. ICAISC (2) 2019: 666-675 - [c172]Thanh Cong Truong, Quoc Bao Diep, Ivan Zelinka, Roman Senkerik:
Pareto-Based Self-organizing Migrating Algorithm Solving 100-Digit Challenge. SEMCCO/FANCCO 2019: 13-20 - [c171]Michal Pluhacek, Roman Senkerik, Adam Viktorin, Tomas Kadavy:
Self-organizing Migrating Algorithm with Non-binary Perturbation. SEMCCO/FANCCO 2019: 43-57 - [c170]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 - [c169]Thanh Cong Truong, Ivan Zelinka, Roman Senkerik:
Neural Swarm Virus. SEMCCO/FANCCO 2019: 122-134 - [c168]Quoc Bao Diep, Ivan Zelinka, Swagatam Das, Roman Senkerik:
SOMA T3A for Solving the 100-Digit Challenge. SEMCCO/FANCCO 2019: 155-165 - [c167]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 - [p7]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 - [p6]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:
Forecasting Cryptocurrency Value by Sentiment Analysis: An HPC-Oriented Survey of the State-of-the-Art in the Cloud Era. High-Performance Modelling and Simulation for Big Data Applications 2019: 325-349 - 2018
- [j24]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) - [j23]Ivan Zelinka, Jouni Lampinen, Roman Senkerik, Michal Pluhacek:
Investigation on evolutionary algorithms powered by nonrandom processes. Soft Comput. 22(6): 1791-1801 (2018) - [j22]Eva Volná, Martin Kotyrba, Zuzana Komínková Oplatková, Roman Senkerik:
Elliott waves classification by means of neural and pseudo neural networks. Soft Comput. 22(6): 1803-1813 (2018) - [j21]Ivan Zelinka, Swagatam Das, Lubomir Sikora, Roman Senkerik:
Swarm virus - Next-generation virus and antivirus paradigm? Swarm Evol. Comput. 43: 207-224 (2018) - [c166]Tomas Kadavy, Michal Pluhacek, Adam Viktorin, Roman Senkerik:
Comparing Boundary Control Methods for Firefly Algorithm. BIOMA 2018: 163-173 - [c165]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 - [c164]Adam Viktorin, Roman Senkerik, Michal Pluhacek, Tomas Kadavy:
How Distance Based Parameter Adaptation Affects Population Diversity. BIOMA 2018: 307-319 - [c163]Michal Pluhacek, Roman Senkerik, Adam Viktorin, Tomas Kadavy, Ivan Zelinka:
Chaos Driven PSO with Attractive Search Space Border Points. CEC 2018: 1-6 - [c162]Roman Senkerik, Adam Viktorin, Michal Pluhacek, Tomas Kadavy:
On the Population Diversity for the Chaotic Differential Evolution. CEC 2018: 1-8 - [c161]Adam Viktorin, Roman Senkerik, Michal Pluhacek, Tomas Kadavy:
Cluster Occurrence in the DbL_SHADE Population. CEC 2018: 1-8 - [c160]Anezka Kazikova, Michal Pluhacek, Roman Senkerik:
Performance of the Bison Algorithm on Benchmark IEEE CEC 2017. CSOS (2) 2018: 445-454 - [c159]Adam Viktorin, Roman Senkerik, Michal Pluhacek, Tomas Kadavy:
Distance vs. Improvement Based Parameter Adaptation in SHADE. CSOS (2) 2018: 455-464 - [c158]Tomas Kadavy, Michal Pluhacek, Adam Viktorin, Roman Senkerik:
Firefly Algorithm Enhanced by Orthogonal Learning. CSOS (2) 2018: 477-488 - [c157]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 - [c156]Zuzana Komínková Oplatková, Adam Viktorin, Roman Senkerik:
Pseudo Neural Networks Via Analytic Programming With Direct Coding Of Constant Estimation. ECMS 2018: 143-149 - [c155]Michal Pluhacek, Roman Senkerik, Adam Viktorin, Tomas Kadavy:
Study On Velocity Clamping In PSO Using CEC'13 Benchmark. ECMS 2018: 150-155 - [c154]Anezka Kazikova, Michal Pluhacek, Roman Senkerik:
Tuning Of The Bison Algorithm Control Parameter. ECMS 2018: 156-162 - [c153]Adam Viktorin, Roman Senkerik, Michal Pluhacek, Tomas Kadavy:
Comparative Study Of The Distance/Improvement Based SHADE. ECMS 2018: 163-169 - [c152]Tomas Kadavy, Michal Pluhacek, Adam Viktorin, Roman Senkerik:
Boundary Strategies For Firefly Algorithm Analysed Using CEC'17 Benchmark. ECMS 2018: 170-175 - [c151]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 - [c150]Tomas Kadavy, Michal Pluhacek, Adam Viktorin, Roman Senkerik:
Orthogonal Learning Firefly Algorithm. HAIS 2018: 315-326 - [c149]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 - [c148]Anezka Kazikova, Michal Pluhacek, Adam Viktorin, Roman Senkerik:
New Running Technique for the Bison Algorithm. ICAISC (1) 2018: 417-426 - [c147]Michal Pluhacek, Roman Senkerik, Adam Viktorin, Tomas Kadavy:
Particle Swarm Optimization with Single Particle Repulsivity for Multi-modal Optimization. ICAISC (1) 2018: 486-494 - [c146]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 - [c145]Adam Viktorin, Roman Senkerik, Michal Pluhacek, Tomas Kadavy:
On the Prolonged Exploration of Distance Based Parameter Adaptation in SHADE. ICAISC (1) 2018: 561-571 - [c144]Zuzana Komínková Oplatková, Roman Senkerik, Adam Viktorin:
Differential Evolution and Analytic Programming in the case of Trigonometric Identities Discovery. IWSSIP 2018: 1-5 - [c143]Roman Senkerik, Adam Viktorin, Michal Pluhacek, Tomas Kadavy, Zuzana Komínková Oplatková:
Differential Evolution and Chaotic Series. IWSSIP 2018: 1-5 - [c142]Adam Viktorin, Roman Senkerik, Michal Pluhacek, Tomas Kadavy:
Addressing Premature Convergence with Distance based Parameter Adaptation in SHADE. IWSSIP 2018: 1-5 - [c141]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, Per Kristian Lehre, Xiaodong Li, Andrei Lissovoi, Pekka Malo, Luis Martí, Yi Mei, Juan Julián Merelo Guervós, Julian F. Miller, Alberto Moraglio, Antonio J. Nebro, Su Nguyen, Gabriela Ochoa, Pietro S. Oliveto, Stjepan Picek, Nelishia Pillay, Mike Preuss, Marc Schoenauer, Roman Senkerik, Ankur Sinha, Ofer M. Shir, Dirk Sudholt, L. Darrell Whitley, Mark Wineberg, John R. Woodward, Mengjie Zhang:
Tutorials at PPSN 2018. PPSN (2) 2018: 477-489 - [c140]Tomas Kadavy, Michal Pluhacek, Roman Senkerik, Adam Viktorin:
On the Performance Significance of Boundary Strategies for Firefly Algorithm. SSCI 2018: 765-769 - [c139]Michal Pluhacek, Roman Senkerik, Adam Viktorin, Tomas Kadavy:
Why Simple Population Restart Does Not Work in PSO. SSCI 2018: 770-776 - 2017
- [j20]Roman Senkerik, Ivan Zelinka, Michal Pluhacek:
Chaos-Based Optimization - A Review. J. Adv. Eng. Comput. 1(1): 68-79 (2017) - [c138]Pavel Krömer, Milos Kudelka, Roman Senkerik, Michal Pluhacek:
Differential evolution with preferential interaction network. CEC 2017: 1916-1923 - [c137]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 - [c136]Adam Viktorin, Roman Senkerik, Michal Pluhacek, Tomas Kadavy:
SHADE Algorithm Dynamic Analyzed Through Complex Network. COCOON 2017: 666-677 - [c135]Adam Viktorin, Roman Senkerik, Michal Pluhacek, Tomas Kadavy:
The Influence of Archive Size to SHADE. CSOC (1) 2017: 517-527 - [c134]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 - [c133]Roman Senkerik, Michal Pluhacek, Adam Viktorin, Tomas Kadavy:
On the Randomization of Indices Selection for Differential Evolution. CSOC (1) 2017: 537-547 - [c132]Adam Viktorin, Roman Senkerik, Michal Pluhacek, Tomas Kadavy:
SHADE Mutation Strategy Analysis Via Dynamic Simulation In Complex Network. ECMS 2017: 299-305 - [c131]Michal Pluhacek, Roman Senkerik, Adam Viktorin, Tomas Kadavy:
Uncovering Communication Density In PSO Using Complex Network. ECMS 2017: 306-312 - [c130]Tomas Kadavy, Michal Pluhacek, Adam Viktorin, Roman Senkerik:
Firework Algorithm Dynamics Simulated And Analyzed With The Aid Of Complex Network. ECMS 2017: 313-318 - [c129]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 - [c128]Zuzana Komínková Oplatková, Adam Viktorin, Roman Senkerik, Tomás Urbánek:
Different Approaches For Constant Estimation In Analytic Programming. ECMS 2017: 326-332 - [c127]Tomas Kadavy, Michal Pluhacek, Adam Viktorin, Roman Senkerik:
Hypersphere Universe Boundary Method Comparison on HCLPSO and PSO. HAIS 2017: 173-182 - [c126]Michal Pluhacek, Adam Viktorin, Roman Senkerik, Tomas Kadavy, Ivan Zelinka:
PSO with Partial Population Restart Based on Complex Network Analysis. HAIS 2017: 183-192 - [c125]Adam Viktorin, Michal Pluhacek, Roman Senkerik, Tomas Kadavy:
Detecting Potential Design Weaknesses in SHADE Through Network Feature Analysis. HAIS 2017: 662-673 - [c124]